ACIIDS2026: 18TH ASIAN CONFERENCE ON INTELLIGENT INFORMATION AND DATABASE SYSTEMS

This page contains an index consisting of author-provided keywords.

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3D U-Net	Cross-Modal Attention and Residual Dense Learning Approach for Multimodal Brain Tumor Segmentation us-ing 3D MRI Scans
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acoustics	Spatial Audio Simulation in Video Games
Active learning	Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration Enhancing the Efficiency and Accuracy of Arabic NER with DeepSeek R1 and active learning
Activity Recognition	Towards Dynamic Key Frames based Temporal Segmentation for Activity Recognition
Adaptive fusion	Adaptive Multimodal Fusion for Interpretable and Efficient Conversational Emotion Recognition
Adaptive Learning ·	Adaptive Online Concept Drift Detection in Process Mining using GAN-based Representation Learning
Adaptive regularization	Adaptive Regularization in the Expectation--Maximization Algorithm for Gaussian Mixture Models
Administrative Documents	TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging
Adversarial Attack	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Adversarial attacks	PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Adversarial Learning	A Variational Adversarial Game Framework for Robust Network Intrusion Detection
Adversarial training	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
aesthetic	A High-Readability and Image-Integrated QR Code Generation Method
Agentic AI	From Generation to Action: The Evolution, Core Architecture, and Challenges of AI Agents
Agricultural Land Reform	Solving Soft-Rectangle Packing with Guillotine Constraints for Field Allocation in Vietnamese Agriculture
Agricultural Vision	MAP-Seg: Semi-Parametric Prototype Learning for Few-Shot Logging Detection in Aerial Imagery
AI	How Smart is Smart Enough? Benchmarking LLMs with Embedding-Based Similarity in Python Code Generation
AI philosophy	Towards organically working AI
AI system reliability	Trustworthy and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing
AI Vision	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
air pollution	Effect of Training Window Length on the Performance of Machine Learning Models for PM10 Forecasting
air quality modeling	Effect of Training Window Length on the Performance of Machine Learning Models for PM10 Forecasting
Algorithm	Approximate Bisimulation Learning: A Machine Learning Framework for Approximating Bisimilarity in Fuzzy Automata
Algorithmic composition	Composing Music by Evolutionary Computation
Alignment	Evaluation of DPO Configurations for LLM Alignment
Alzheimer's	Meta-Plasticity and Memory Mechanisms for Multi-Activity Recognition under Environmental Variability
ambient sound	Spatial Audio Simulation in Video Games
Analog hardware	Trustworthy and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing
Anomaly detection	Bringing Traditional Manufacturing Assets Under the Industry 4.0 Predictive Maintenance Framework
anomaly diagnosis	AI-Assisted Diagnosis and Correction of Anomalies in Tradi-tional Production Line
anthropometric parameters	Body mass index prediction on the basis of gait data
APT Attribution	Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data
Aquaculture	Hybrid Fuzzy Utility Mining with Graph-Reinforcement Learning for Circular Shrimp-Rice Farming
AraBERT	Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration
Arabic	Sentiment Analysis in Recommendation Systems: An Exploration with a Special Focus on Arabic Language
Arabic Named Entity Recognition	Enhancing the Efficiency and Accuracy of Arabic NER with DeepSeek R1 and active learning
Argument Mining	Multi-Agent Dialectical Refinement for Enhanced Argument Classification
Arrhythmia Classification	A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise
Artificial Intelligence	An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Artificial Intelligent	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Artificial noise injection	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
Assamese	Context-Aware Assamese Spelling Detection Using Fine-Tuned Transformer Models
association rule	An Association-based Multi-document Summarization Optimization Algorithm by Using the Non-dominated Sorting Genetic Algorithm II
Attention Mechanism	An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation
attention Modules	Cross-Modal Attention and Residual Dense Learning Approach for Multimodal Brain Tumor Segmentation us-ing 3D MRI Scans
Audio Domain	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Augmented Reality	An approach towards object identification in logistics using QR codes
Authentication	Secure and Semi-Fragile Image Authentication Using Autoencoder-Based Watermarking and Al-Kindi Encryption
Autism Spectrum Disorder	An Explainable Framework for Brain Connectivity-Based Autism Diagnosis
Autoencoders	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Automated Auditing System	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Automatic Detection of Emotions and Sarcasm	A Hybrid Method for Emotions and Sarcasm Detection in Polish Language
Automatic Speech Recognition	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Autonomous reasoning	From Generation to Action: The Evolution, Core Architecture, and Challenges of AI Agents
Avatars	Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
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Back-translation	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Ball Mapper	Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
Basic belief function	A robust merging of probabilistic knowledge bases via evidential reasoning
Basic probability assignment function	A robust merging of probabilistic knowledge bases via evidential reasoning
Battery Prognostics	Explaining LSTM Battery RUL Prediction via Temporal Attribution
Bearing Demodulation	Bringing Traditional Manufacturing Assets Under the Industry 4.0 Predictive Maintenance Framework
Behavioral data augmentation	LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
Belief function theory	Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears
BERT	Secure medical text classification through decentralized Federated Learning using Ensemble Learning Voting Rule-Based Framework for Multi-Label Emotion Detection Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models
Binary classification	SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
binaural beats	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
Bioinformatics	A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise
Biomedical image segmentation	Advances in Multiobjective Optimization and Applications in Healthcare
biometric security	Utilizing Representation Learning for ECG-based Authentication
Bisimulation Learning	Approximate Bisimulation Learning: A Machine Learning Framework for Approximating Bisimilarity in Fuzzy Automata
bitmap representation	Erasable Itemset Mining with Itemset-Range Constraints by Utilizing Bit Vectors and Data Shrinking
Black-box attack	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Blockchain	Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain
Bounding Box Regression	Amortized Gradient Estimation for Ecient EBM Box Renement
BPMN	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
Brain Connections Selection	An Explainable Framework for Brain Connectivity-Based Autism Diagnosis
Brain MRI	3W-DBSCAN-IS: A Three-Way Density-Based Clustering Framework for Uncertainty-Aware Medical Image Segmentation
Brain Tumor	Cross-Modal Attention and Residual Dense Learning Approach for Multimodal Brain Tumor Segmentation us-ing 3D MRI Scans
Brain tumor segmentation	Brain Tumor Detection by Improving Deep Learning Techniques and Image Processing
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Cactus Diseases Detection	Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears
Calibration	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Camouflaged Animal	CAMO-InstSynth: Few-shot Camouflage Instance Segmentation with Multi-Conditional Background Synthesis and Generative Augmentation
Camouflaged Instance	CAMO-InstSynth: Few-shot Camouflage Instance Segmentation with Multi-Conditional Background Synthesis and Generative Augmentation
Campus Environment	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
Cardiovascular Risk Assessment	SegViT-Based Segmentation of Common Carotid Artery Ultrasound Images
CAREN Extended system	Evaluating the Impact of External Perturbations on Human Gait Dynamics Using Entropy Measures
Cartoon Retrieval	Cross-Quantized Hyperbolic Representations for Enhancing Cartoon Image Retrieval
Causal Graph Neural Net-works	Causal Time-Series GNN with XAI for Stock Market Fraud Detection
Causal Inference	Enhancing ACCENT with Causality
Causal Relationships	Causal Interactions Among Climate, Prices, and Trading Volumes in Vegetable Price Forecasting
Center-Based Down Sampling	Improving Skin Cancer Diagnosis via Deep Metric Learning, Center-Based Down Sampling, and Test-Time Augmentation
chatbot evaluation	End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering
Chest X-rays	Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Child Abuse Comments	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Churn	Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses
Circular Economy	Hybrid Fuzzy Utility Mining with Graph-Reinforcement Learning for Circular Shrimp-Rice Farming
Class imbalance	Adaptive Multimodal Fusion for Interpretable and Efficient Conversational Emotion Recognition
Class-Incremental Learning	IOF-DP: Iterative Inner–Outer Fusion with Dual-Projection for Exemplar-Free Class Incremental Learning
clustering	A Personalized News Recommendation Technique based on Generalized Additive Mixed Effect Model
CNN	A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images Shapley Pruning for Neural Network Compression Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata CBiF-Net: A Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears
Code-switching	CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
cognitive training	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
cold start	A Content-Based Music Recommender System by Integrating Music Repeating Patterns and User Preference Ratings
Collaborative Filtering	EBC-CARS: Energy-Based Context-Aware Recommendation with Energy Distance
Colorectal Cancer	Fully Automated Colorectal Cancer Segmentation on Computed Tomography Using Deep Learning Strategy
Combined Knowledge Base	A Knowledge-Based Method for Designing Knowledge Querying Systems in Computer Programming Education
Common Carotid Artery (CCA)	SegViT-Based Segmentation of Common Carotid Artery Ultrasound Images
Common Layer of Metamodels	FLAT: A Method for Accurate Evaluation of Semantic Preservation in Conceptual Model Transformations
Compact Video Representation	Efficient Logic Gate Networks for Video Copy Detection
compliance by design	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
composite multiscale entropy	Body mass index prediction on the basis of gait data Evaluating the Impact of External Perturbations on Human Gait Dynamics Using Entropy Measures
Computational Ethics	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
Computational intelligence	Composing Music by Evolutionary Computation
Computed Tomography	Fully Automated Colorectal Cancer Segmentation on Computed Tomography Using Deep Learning Strategy
Computer vision	Early-Stage Integration of Attention Mechanisms in OmniPose for Human Pose Estimation Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
Concept Drift Detection ·	Adaptive Online Concept Drift Detection in Process Mining using GAN-based Representation Learning
conceptual modeling	FLAT: A Method for Accurate Evaluation of Semantic Preservation in Conceptual Model Transformations
conditional image generation	A parallel U-Net concept for image recontextualization
Confidentiality	Secure medical text classification through decentralized Federated Learning using Ensemble Learning
Conflict analysis	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data
Conformer	Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Confounder control	Energy-Based Motion Pattern Detection with Partial Distance Correlation
content-based music recommender system	A Content-Based Music Recommender System by Integrating Music Repeating Patterns and User Preference Ratings
Context awareness	A Context-Aware Framework for Time Series Forecasting of Energy Consumption: A Maritime Case Study
Context Engineering	ContextGeo: A context engineering framework for multi-agent geospatial AI systems
Context Modeling	EBC-CARS: Energy-Based Context-Aware Recommendation with Energy Distance
Context-Aware Recommendation	EBC-CARS: Energy-Based Context-Aware Recommendation with Energy Distance
continual learning	GMPA: Enhancing Continual Learning with Rehearsal-based Method via Gaussian Mixture Prototype Augmentation
continuous performance test	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
contrastive	Utilizing Representation Learning for ECG-based Authentication CLIP-based dual-encoder approach for Sketch-to-Image Retrieval
Contrastive learning	LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
Conversational AI	Adaptive Multimodal Fusion for Interpretable and Efficient Conversational Emotion Recognition
conversational search	ViQR-Decider: Lightweight Vietnamese Query Rewriting with Decider Tokens and Synthetic Data
Conversational Systems	An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
Convolutional neural networks	Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
Core co-location patterns	On Discovering High Utility Core Co-Location Patterns From Spatial Datasets
Counterfactual Explanations	Towards plausibility in time series counterfactual explanations Enhancing ACCENT with Causality
Covering-based rough set	Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
CQH	Cross-Quantized Hyperbolic Representations for Enhancing Cartoon Image Retrieval
Crack Bi-Fusion Net	CBiF-Net: A Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation
Crack Segmentation	CBiF-Net: A Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation
Credit Card Fraud Detection	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
CRIS	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Critical Thinking	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
Cross Quantized Hyperbolic	Cross-Quantized Hyperbolic Representations for Enhancing Cartoon Image Retrieval
Cross-attention	Haar Decomposition with Cross Attention for Time Series Anomaly Detection
Cross-lingual Transfer	Advancing Vietnamese Visual Question Answering via Adapter-Augmented Cross-Lingual Embedding Integration
Cryptography	Secure and Semi-Fragile Image Authentication Using Autoencoder-Based Watermarking and Al-Kindi Encryption
Curriculum Learning	CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
Custom instruction	A neural network enhanced RISC-V processor architecture designed in FPGA
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Dark Web	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Data Augmentation	CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
data digitization	AI-Assisted Diagnosis and Correction of Anomalies in Tradi-tional Production Line
Data fabric	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Data fusion strategies	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
Data mesh	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
data mining	Erasable Itemset Mining with Itemset-Range Constraints by Utilizing Bit Vectors and Data Shrinking
data monotony	A Content-Based Music Recommender System by Integrating Music Repeating Patterns and User Preference Ratings
Data Privacy	Federated Two-Phase High-Utility Mining
data shrinking	Erasable Itemset Mining with Itemset-Range Constraints by Utilizing Bit Vectors and Data Shrinking
data streams	A Personalized News Recommendation Technique based on Generalized Additive Mixed Effect Model
Data Synthesis	AutoViVQA: A Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering
data systhesis	End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering
DBSCAN	3W-DBSCAN-IS: A Three-Way Density-Based Clustering Framework for Uncertainty-Aware Medical Image Segmentation
Decentralized federated learning	Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain
decider token	ViQR-Decider: Lightweight Vietnamese Query Rewriting with Decider Tokens and Synthetic Data
Decision support model	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Decision-level fusion	Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears
declarative modeling	Data-driven model transformation of Resource-Constrained Problems in Production and Logistics
Deep Learning	Recent Trend and Future of Artificial Intelligence and Machine Learning: Application in Healthcare System An AI-based Non-contact Framework for Swine Body Length Estimation and Activity Tracking in Smart Farming Secure medical text classification through decentralized Federated Learning using Ensemble Learning Early-Stage Integration of Attention Mechanisms in OmniPose for Human Pose Estimation An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation A Personalized News Recommendation Technique based on Generalized Additive Mixed Effect Model Fully Automated Colorectal Cancer Segmentation on Computed Tomography Using Deep Learning Strategy Utilizing Representation Learning for ECG-based Authentication Evaluating Deep Learning Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange A Variational Graph Neural Network with Multi-View Integration for Predicting lncRNA–Disease Associations Brain Tumor Detection by Improving Deep Learning Techniques and Image Processing PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
Deep Metric Learning	Improving Skin Cancer Diagnosis via Deep Metric Learning, Center-Based Down Sampling, and Test-Time Augmentation
Deepfake	Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
DeepSeek	Enhancing the Efficiency and Accuracy of Arabic NER with DeepSeek R1 and active learning
Dempster rule	A robust merging of probabilistic knowledge bases via evidential reasoning
Denoising autoencoder	Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders
deontic modality	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
Depression	Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models
Detection transformer	Asymmetric Hierarchical Fusion for Visual Grounding in SAR Images
Differential Privacy	Onto-DP: Constructing neighborhoods for differential privacy on ontological databases
Difficulty Scoring	CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
Disease treatment	Recent Trend and Future of Artificial Intelligence and Machine Learning: Application in Healthcare System
Dispersed data	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data
Distance correlation	Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework
DistilBERT	Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models
Distributed classification	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
Distributed Data Mining	Distributed Seasonal Temporal Pattern Mining
DOM-GraphIE	DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Drug design	Advances in Multiobjective Optimization and Applications in Healthcare
Drug Discovery	Mechanistic Traceability in Drug-Disease Association Discovery: A Deterministic Graph-RAG Approach
Dual-Projection	IOF-DP: Iterative Inner–Outer Fusion with Dual-Projection for Exemplar-Free Class Incremental Learning
DWT	Secure and Semi-Fragile Image Authentication Using Autoencoder-Based Watermarking and Al-Kindi Encryption
Dynamic Key Frames	Towards Dynamic Key Frames based Temporal Segmentation for Activity Recognition
Dynamic Knowledge Fusion	IOF-DP: Iterative Inner–Outer Fusion with Dual-Projection for Exemplar-Free Class Incremental Learning
dynamic time warping	Towards plausibility in time series counterfactual explanations
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ECG authentication	Utilizing Representation Learning for ECG-based Authentication
Edge AI	Fast High-Fidelity Latency Predictor for Homogeneous Neural Networks on ST Microcontrollers
Edge AI deployment	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
Edge Computing	Efficient Logic Gate Networks for Video Copy Detection
Edge-Cloud Architecture	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
EEG brainwave	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
EEG Epileptic seizure prediction	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
Efficient Neural Networks	HeritKAN: Robust and Ensemble Kolmogorov–Arnold Networks for Intangible Cultural Heritage Classification
Elementary Shortest Path Problem	New Mixed-Integer Linear Programming Formulations with Redundant Variables for Elementary Shortest Path and Quorumcast Routing Problems
eling· Hybrid Architectures· Two-Head LSTM· Indian Fixed-Income	A Comparative Study of Advanced Hybrid and Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields
embedded systems	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
emergent phases	Modeling Emergent Group Processes from Verbal Interaction Dynamics
EMG classification	SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
EmoSet	Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: A Balanced and Diverse Dataset
Emotion detection	Voting Rule-Based Framework for Multi-Label Emotion Detection
Emotion TTS for low-resource languages	Adapting Emotional Expressiveness in Text-to-Speech for Low-Resource Languages
emotional distress	Identifying distress in Vietnamese narratives: dataset construction and model benchmarking
Emotional speech synthesis	Adapting Emotional Expressiveness in Text-to-Speech for Low-Resource Languages
Employee Absence	Prediction of employee absence in a telecommunication company using machine learning models
Energy consumption forecasting	A Context-Aware Framework for Time Series Forecasting of Energy Consumption: A Maritime Case Study
Energy Distance	EBC-CARS: Energy-Based Context-Aware Recommendation with Energy Distance
Energy Optimization	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
Energy statistics	Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework
Energy-based model	EBC-CARS: Energy-Based Context-Aware Recommendation with Energy Distance Energy-Based Motion Pattern Detection with Partial Distance Correlation
Energy-Based Models	Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework Amortized Gradient Estimation for Ecient EBM Box Renement
Energy-Efficient Models	Efficient Logic Gate Networks for Video Copy Detection
Energy‑efficient AI	Trustworthy and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing
Ensemble Learning	Secure medical text classification through decentralized Federated Learning using Ensemble Learning HeritKAN: Robust and Ensemble Kolmogorov–Arnold Networks for Intangible Cultural Heritage Classification
Ensemble model	Voting Rule-Based Framework for Multi-Label Emotion Detection
Ensembles of classifiers	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data
Enterprise adoption barriers	From Generation to Action: The Evolution, Core Architecture, and Challenges of AI Agents
erasable itemset mining	Erasable Itemset Mining with Itemset-Range Constraints by Utilizing Bit Vectors and Data Shrinking
error correction	Evaluation of Large Language Models in Difficult Spelling Error Detection in Polish Parliamentary Transcripts
esp-idfFirst	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
esp32	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
Ethical Tutoring	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
EU AI Act	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
Evaluation metrics	Behind PRISMA’s Success: Generative Artificial Intelligence Support in Systematic Reviews
Event stream	Adaptive Online Concept Drift Detection in Process Mining using GAN-based Representation Learning
Evidence Traceability	Mechanistic Traceability in Drug-Disease Association Discovery: A Deterministic Graph-RAG Approach
Evolutionary Algorithm	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Evolutionary Algorithms	A New Model of Fuzzy Tournament Selection in Evolutionary Algorithms for Solving Multimodal Problems
Evolutionary computation	Composing Music by Evolutionary Computation
Expectation--Maximization algorithm	Adaptive Regularization in the Expectation--Maximization Algorithm for Gaussian Mixture Models
explainability	A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration
Explainable AI	Recent Trend and Future of Artificial Intelligence and Machine Learning: Application in Healthcare System A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise Mechanistic Traceability in Drug-Disease Association Discovery: A Deterministic Graph-RAG Approach Explaining LSTM Battery RUL Prediction via Temporal Attribution Enhancing ACCENT with Causality Causal Time-Series GNN with XAI for Stock Market Fraud Detection SHAP-Guided LightGBM Classification of Neuropathic EMG Signals Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Explanation-Guided Learning	A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise
Explicit mapping	VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling
extractive summarization	An Association-based Multi-document Summarization Optimization Algorithm by Using the Non-dominated Sorting Genetic Algorithm II
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Face-Swapping	Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
Factor Analysis	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Fast Wavelet Transform	Adaptive Medical Image Watermarking Based on Multi-Resolution Function Contribution and Wavelet Neural Networks
feature extraction	Body mass index prediction on the basis of gait data
feature relevance	Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs
Feature selection	A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
Features	Prediction of employee absence in a telecommunication company using machine learning models
Federated learning	Secure medical text classification through decentralized Federated Learning using Ensemble Learning LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
Federated Mining	Federated Two-Phase High-Utility Mining
FER	Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: A Balanced and Diverse Dataset
FER2013	Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: A Balanced and Diverse Dataset
Few-Shot Learning	MAP-Seg: Semi-Parametric Prototype Learning for Few-Shot Logging Detection in Aerial Imagery CAMO-InstSynth: Few-shot Camouflage Instance Segmentation with Multi-Conditional Background Synthesis and Generative Augmentation
Financial Fraud Intelligence	Causal Time-Series GNN with XAI for Stock Market Fraud Detection
Fixed-wing unmanned aerial vehicles	Enhanced Flight Path Planning for Fixed-wing Unmanned Aerial Vehicles
fMRI	An Explainable Framework for Brain Connectivity-Based Autism Diagnosis
Form Filling	TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging
Formal Argumentation	Multi-Agent Dialectical Refinement for Enhanced Argument Classification
Forums	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
FPGA	A neural network enhanced RISC-V processor architecture designed in FPGA
Frequency-based weighting	WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
Fusion	A High-Readability and Image-Integrated QR Code Generation Method Cross-Modal Attention and Residual Dense Learning Approach for Multimodal Brain Tumor Segmentation us-ing 3D MRI Scans
Future of AI	Towards organically working AI
Future research directions	Composing Music by Evolutionary Computation
Fuzzy Automata	Approximate Bisimulation Learning: A Machine Learning Framework for Approximating Bisimilarity in Fuzzy Automata
Fuzzy Logic	A New Model of Fuzzy Tournament Selection in Evolutionary Algorithms for Solving Multimodal Problems
Fuzzy Utility Mining	Hybrid Fuzzy Utility Mining with Graph-Reinforcement Learning for Circular Shrimp-Rice Farming
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gait analysis	Body mass index prediction on the basis of gait data
Game Theoretical Frameworks	A Variational Adversarial Game Framework for Robust Network Intrusion Detection
game theory	Shapley Pruning for Neural Network Compression
Gap Imputation	Causal Time-Series GNN with XAI for Stock Market Fraud Detection
gated integration	GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media
Gaussian mixture models	Adaptive Regularization in the Expectation--Maximization Algorithm for Gaussian Mixture Models
gaussian prototype augmentation	GMPA: Enhancing Continual Learning with Rehearsal-based Method via Gaussian Mixture Prototype Augmentation
Gaussian Splatting	Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
Generative Adversarial Network (GAN)	Exploring Action Selection Methods in User-Driven Image Generation
Generative Adversarial Networks (GANs) ·	Adaptive Online Concept Drift Detection in Process Mining using GAN-based Representation Learning
generative model	A parallel U-Net concept for image recontextualization
Genetic algorithm	Evaluating Deep Learning Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange Enhanced Flight Path Planning for Fixed-wing Unmanned Aerial Vehicles
genetic algorithms	Optimizing Technical-indicator-based Trading Strategies Using a Modified Grey Wolf Optimizer
Geometric data modeling	Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
Geospatial Artificial Intelligence	ContextGeo: A context engineering framework for multi-agent geospatial AI systems
Geospatial data clustering	Fast-NSTBC: A scalable topological-based clus-tering method for large network-constrained geo-spatial data
GIS	Fast-NSTBC: A scalable topological-based clus-tering method for large network-constrained geo-spatial data
Global technology trends	Towards organically working AI
Global-Local Attention Network	GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media
GovernmentBondYieldPrediction· LongShort-TermMem-	A Comparative Study of Advanced Hybrid and Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields
GPT	Secure medical text classification through decentralized Federated Learning using Ensemble Learning
Gradient Stability	Amortized Gradient Estimation for Ecient EBM Box Renement
graph	Temporal Graph Refinement and Reasoning Path Extraction for Legal Document Retrieval Infrastructure Abstract Graph for Modeling and Comparative Evaluation of Optimization Methods
graph methods	Infrastructure Abstract Graph for Modeling and Comparative Evaluation of Optimization Methods
Graph neural networks	Recent Trend and Future of Artificial Intelligence and Machine Learning: Application in Healthcare System DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction Hybrid Fuzzy Utility Mining with Graph-Reinforcement Learning for Circular Shrimp-Rice Farming A Variational Graph Neural Network with Multi-View Integration for Predicting lncRNA–Disease Associations
Graph-Aware Retrieval	ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
graph–text fusion	GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media
Grey wolf optimizer	Optimizing Technical-indicator-based Trading Strategies Using a Modified Grey Wolf Optimizer
group process modeling	Modeling Emergent Group Processes from Verbal Interaction Dynamics
Guillotine Constraints	Solving Soft-Rectangle Packing with Guillotine Constraints for Field Allocation in Vietnamese Agriculture
H
Haar wavelet	Haar Decomposition with Cross Attention for Time Series Anomaly Detection
hallucination detection	End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering
HAM10000	Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata
Healthcare applications	Recent Trend and Future of Artificial Intelligence and Machine Learning: Application in Healthcare System
Healthcare Regulations	ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
Heterogeneous data sources	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
Hierarchical dispersed models	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
Hierarchical fusion	Asymmetric Hierarchical Fusion for Visual Grounding in SAR Images
High utility co-location patterns	On Discovering High Utility Core Co-Location Patterns From Spatial Datasets
High-utility Itemset	Federated Two-Phase High-Utility Mining
Horizontal Framework	Federated Two-Phase High-Utility Mining
HTML DOM graph	DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Human activity recognition	Meta-Plasticity and Memory Mechanisms for Multi-Activity Recognition under Environmental Variability
Human Detection	Enhancing AGWO-YOLO for Surveillance: Real-Time Human Detection with Adaptive Grey Wolf Optimizer
human gait	Evaluating the Impact of External Perturbations on Human Gait Dynamics Using Entropy Measures
Hybrid CNN-Transformer	CBiF-Net: A Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation
Hybrid Method	A Hybrid Method for Emotions and Sarcasm Detection in Polish Language
Hybrid model	A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images
Hyperbolic Product Quantization	Cross-Quantized Hyperbolic Representations for Enhancing Cartoon Image Retrieval
I
Identity-Grounded RAG	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
image recontextualization	A parallel U-Net concept for image recontextualization
Image World Model	Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation
Imbalanced Classification	An Adaptive Resampling Hyperparameter Prediction Framework for Improved Classification on Imbalanced Datasets based on Self-Feature Analysis
incremental learning	A Personalized News Recommendation Technique based on Generalized Additive Mixed Effect Model
Indonesian TLD (.id)	Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs
Industrial Computer Vision	An approach towards object identification in logistics using QR codes
Industry 4.0	Bringing Traditional Manufacturing Assets Under the Industry 4.0 Predictive Maintenance Framework
Inferences	Onto-DP: Constructing neighborhoods for differential privacy on ontological databases
information-theoretic analysis	Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs
infrastructure abstract graph	Infrastructure Abstract Graph for Modeling and Comparative Evaluation of Optimization Methods
Instance Segmentation	CAMO-InstSynth: Few-shot Camouflage Instance Segmentation with Multi-Conditional Background Synthesis and Generative Augmentation
Intelligent Educational Systems	A Knowledge-Based Method for Designing Knowledge Querying Systems in Computer Programming Education
Intelligent Pig Farming Management	An AI-based Non-contact Framework for Swine Body Length Estimation and Activity Tracking in Smart Farming
Intelligent random tree	Enhanced Flight Path Planning for Fixed-wing Unmanned Aerial Vehicles
Interpretable AI	Adaptive Multimodal Fusion for Interpretable and Efficient Conversational Emotion Recognition
Intrusion detection system	Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration
IoU Loss	Amortized Gradient Estimation for Ecient EBM Box Renement
item-based collaborative filtering	A Content-Based Music Recommender System by Integrating Music Repeating Patterns and User Preference Ratings
itemset-range constraint	Erasable Itemset Mining with Itemset-Range Constraints by Utilizing Bit Vectors and Data Shrinking
Iterative Fusion	IOF-DP: Iterative Inner–Outer Fusion with Dual-Projection for Exemplar-Free Class Incremental Learning
J
JEPA	Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation
Joint learning	VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling
Joint Source-Channel Coding	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
K
KAN	HeritKAN: Robust and Ensemble Kolmogorov–Arnold Networks for Intangible Cultural Heritage Classification
Keyword extraction	Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders
Knowledge graph	Integrating Large Language Models with Symbolic Reasoning for Knowledge Graph–Driven Legal Query System SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Knowledge GRaphs	Mechanistic Traceability in Drug-Disease Association Discovery: A Deterministic Graph-RAG Approach
Knowledge Querying Systems	A Knowledge-Based Method for Designing Knowledge Querying Systems in Computer Programming Education
Knowledge Representation Model	A Knowledge-Based Method for Designing Knowledge Querying Systems in Computer Programming Education
Kolmogorov Arnold Networks	A Variational Adversarial Game Framework for Robust Network Intrusion Detection
L
Label efficiency	Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation
Language models	Fine-tuning of Multilingual Language Models for Low-Resource Smishing Detection using LoRA
Large Language Model	TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging Integrating Large Language Models with Symbolic Reasoning for Knowledge Graph–Driven Legal Query System
Large language model benchmarking	Behind PRISMA’s Success: Generative Artificial Intelligence Support in Systematic Reviews
Large Language Models	Multi-Agent Dialectical Refinement for Enhanced Argument Classification Evaluation of DPO Configurations for LLM Alignment Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data AutoViVQA: A Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation Evaluation of Large Language Models in Difficult Spelling Error Detection in Polish Parliamentary Transcripts Exploring Large Language Models' Ability in Text Correction and Restoration for Vietnamese Hate Speech Detection An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
Large Language Models (LLMs)	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
Latency Prediction	Fast High-Fidelity Latency Predictor for Homogeneous Neural Networks on ST Microcontrollers
learning	Utilizing Representation Learning for ECG-based Authentication
LED lighting	Infrastructure Abstract Graph for Modeling and Comparative Evaluation of Optimization Methods
Legal Information Retrieval	Integrating Large Language Models with Symbolic Reasoning for Knowledge Graph–Driven Legal Query System
legal knowledge representation	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
legal norms	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
Legal QA	SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents
legal reasoning	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
Legal Text Retrieval	SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents
LightGBM	SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
Lightweight	A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images
Lightweight Models	Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
LLM	How Smart is Smart Enough? Benchmarking LLMs with Embedding-Based Similarity in Python Code Generation
LLM-as-judge	End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering
LLMs	Identifying distress in Vietnamese narratives: dataset construction and model benchmarking
lncRNA-disease associations	A Variational Graph Neural Network with Multi-View Integration for Predicting lncRNA–Disease Associations
Logic	Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration
Logic Gate Networks	Efficient Logic Gate Networks for Video Copy Detection
Logistic Regression	Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses
Long Short-Term Memory	Meta-Plasticity and Memory Mechanisms for Multi-Activity Recognition under Environmental Variability
Low-Rank Adaptation	Fine-tuning of Multilingual Language Models for Low-Resource Smishing Detection using LoRA
Low-Resource Languages	Fine-tuning of Multilingual Language Models for Low-Resource Smishing Detection using LoRA ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
Low-resource NLP	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
LSTM	Causal Interactions Among Climate, Prices, and Trading Volumes in Vegetable Price Forecasting
Lung Segmentation	An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation
M
Machine Learning	Enhancing Opening Range Breakout Strategies with LSTM-based True Range Prediction Prediction of employee absence in a telecommunication company using machine learning models Behind PRISMA’s Success: Generative Artificial Intelligence Support in Systematic Reviews A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models SHAP-Guided LightGBM Classification of Neuropathic EMG Signals Effect of Training Window Length on the Performance of Machine Learning Models for PM10 Forecasting
Malware Analysis	Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data
Markets· Multi-Task Learning	A Comparative Study of Advanced Hybrid and Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields
Maximal cliques	On Discovering High Utility Core Co-Location Patterns From Spatial Datasets
Medical image segmentation	3W-DBSCAN-IS: A Three-Way Density-Based Clustering Framework for Uncertainty-Aware Medical Image Segmentation
Medical Image Watermarking	Adaptive Medical Image Watermarking Based on Multi-Resolution Function Contribution and Wavelet Neural Networks
Medical imaging	An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation Brain Tumor Detection by Improving Deep Learning Techniques and Image Processing
Medical Text Classification	Secure medical text classification through decentralized Federated Learning using Ensemble Learning A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Medicalimagesegmentation	Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation
meditation	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
Melanoma	Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata
Memory	Meta-Plasticity and Memory Mechanisms for Multi-Activity Recognition under Environmental Variability
memory usage	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
Merging probabilistic knowledge base	A robust merging of probabilistic knowledge bases via evidential reasoning
Metadata	Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata
Metaheuristics	Advances in Multiobjective Optimization and Applications in Healthcare
metamodel evaluation	FLAT: A Method for Accurate Evaluation of Semantic Preservation in Conceptual Model Transformations
Metaplasticity	Meta-Plasticity and Memory Mechanisms for Multi-Activity Recognition under Environmental Variability
Metrics	Method of Optimizing Microservices Security Based on Workload
Microservices	Method of Optimizing Microservices Security Based on Workload
MITRE ATLAS	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
Mixed-Integer Linear Programming	New Mixed-Integer Linear Programming Formulations with Redundant Variables for Elementary Shortest Path and Quorumcast Routing Problems Solving Soft-Rectangle Packing with Guillotine Constraints for Field Allocation in Vietnamese Agriculture
MLOps	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
Model compression	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
model transformation	Data-driven model transformation of Resource-Constrained Problems in Production and Logistics
modern C++ standards	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
Moral Reasoning	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
motion capture	Body mass index prediction on the basis of gait data
Motion pattern detection	Energy-Based Motion Pattern Detection with Partial Distance Correlation
mRMR optimization	Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs
Multi agent	Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration
Multi-Agent Systems	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring Multi-Agent Dialectical Refinement for Enhanced Argument Classification ContextGeo: A context engineering framework for multi-agent geospatial AI systems
Multi-intent detection	VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling
Multi-label classification	Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Multi-Objective based Optimization	An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation
multi-objective optimization	An Association-based Multi-document Summarization Optimization Algorithm by Using the Non-dominated Sorting Genetic Algorithm II
Multi-Objective Reinforcement Learning	Hybrid Fuzzy Utility Mining with Graph-Reinforcement Learning for Circular Shrimp-Rice Farming
Multi-view learning	A Variational Graph Neural Network with Multi-View Integration for Predicting lncRNA–Disease Associations
Multihop Question Answering	ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
Multilingual	Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models
Multimodal	PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features
Multimodal emotion recognition	Adaptive Multimodal Fusion for Interpretable and Efficient Conversational Emotion Recognition
Multimodal learning	Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework Asymmetric Hierarchical Fusion for Visual Grounding in SAR Images CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
Multimodal MRI Fusion	Cross-Modal Attention and Residual Dense Learning Approach for Multimodal Brain Tumor Segmentation us-ing 3D MRI Scans
Multimodal Optimization	A New Model of Fuzzy Tournament Selection in Evolutionary Algorithms for Solving Multimodal Problems
Multimodal Sensing	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
Multiobjective optimization	Advances in Multiobjective Optimization and Applications in Healthcare
multiscale entropy	Evaluating the Impact of External Perturbations on Human Gait Dynamics Using Entropy Measures
Musical creativity	Composing Music by Evolutionary Computation
N
Natural language generation	Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders
Natural Language Processing	TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents Voting Rule-Based Framework for Multi-Label Emotion Detection An Association-based Multi-document Summarization Optimization Algorithm by Using the Non-dominated Sorting Genetic Algorithm II Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration Enhancing the Efficiency and Accuracy of Arabic NER with DeepSeek R1 and active learning An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
Neighborhood Rough Decision Tree	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
NeRF	Deepfake for the Good: Generating Avatars through Face-Swapping with Implicit Deepfake Generation
Network	Design and Implementation of an Intelligent Adaptive Path Selection Mechanism for SDN-Orchestrated SRv6 Networks
network compression	Shapley Pruning for Neural Network Compression
Network Intrusion Detection Systems	A Variational Adversarial Game Framework for Robust Network Intrusion Detection
network space	Fast-NSTBC: A scalable topological-based clus-tering method for large network-constrained geo-spatial data
network spatial analysis	Fast-NSTBC: A scalable topological-based clus-tering method for large network-constrained geo-spatial data
Neural Architecture Search	Fast High-Fidelity Latency Predictor for Homogeneous Neural Networks on ST Microcontrollers
Neural Network	A neural network enhanced RISC-V processor architecture designed in FPGA
Neuropathy diagnosis	SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
NLP	A Hybrid Method for Emotions and Sarcasm Detection in Polish Language Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models
non-dominated sorting genetic algorithm II	An Association-based Multi-document Summarization Optimization Algorithm by Using the Non-dominated Sorting Genetic Algorithm II
non-parametric estimation	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
Non‑deterministic LLMs	From Generation to Action: The Evolution, Core Architecture, and Challenges of AI Agents
normalizing flows	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
O
Object Detection	Amortized Gradient Estimation for Ecient EBM Box Renement Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities CAMO-InstSynth: Few-shot Camouflage Instance Segmentation with Multi-Conditional Background Synthesis and Generative Augmentation
Object scale	Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
Ontology	A Knowledge-Based Method for Designing Knowledge Querying Systems in Computer Programming Education Onto-DP: Constructing neighborhoods for differential privacy on ontological databases
Opening Range Breakout Trading Strategies	Enhancing Opening Range Breakout Strategies with LSTM-based True Range Prediction
ory Networks· ARIMA Models· Ensemble Forecasting· Residual Mod-	A Comparative Study of Advanced Hybrid and Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields
Out-of-Time Analysis	Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses
P
Parallel computing	Enhanced Flight Path Planning for Fixed-wing Unmanned Aerial Vehicles
Pareto optimality	Advances in Multiobjective Optimization and Applications in Healthcare
parliamentary data	Evaluation of Large Language Models in Difficult Spelling Error Detection in Polish Parliamentary Transcripts
Partial distance correlation	Energy-Based Motion Pattern Detection with Partial Distance Correlation
Path planning	Enhanced Flight Path Planning for Fixed-wing Unmanned Aerial Vehicles
Path Selection	Design and Implementation of an Intelligent Adaptive Path Selection Mechanism for SDN-Orchestrated SRv6 Networks
performance	Modern C++ in Resource-Constrained Edge Systems: An ESP32 Evaluation Bridging Efficiency and Practical AI Applications
Performance comparison	Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
performance ratio	Evaluating Deep Learning Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange
phishing detection	Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs
Phishing Website Detection	PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features
Physical layer security	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
Pig Activity Detection And Tracking	An AI-based Non-contact Framework for Swine Body Length Estimation and Activity Tracking in Smart Farming
Pig Size Estimation	An AI-based Non-contact Framework for Swine Body Length Estimation and Activity Tracking in Smart Farming
PM10 prediction	Effect of Training Window Length on the Performance of Machine Learning Models for PM10 Forecasting
portfolio optimization	Optimizing Technical-indicator-based Trading Strategies Using a Modified Grey Wolf Optimizer
Post-training quantization	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
Predictive analytics	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Predictive Features	Causal Interactions Among Climate, Prices, and Trading Volumes in Vegetable Price Forecasting
predictive maintenance	Bringing Traditional Manufacturing Assets Under the Industry 4.0 Predictive Maintenance Framework
Preference Optimization	Evaluation of DPO Configurations for LLM Alignment
presolving	Data-driven model transformation of Resource-Constrained Problems in Production and Logistics
Principal Component Analysis	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Privacy	Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain Onto-DP: Constructing neighborhoods for differential privacy on ontological databases
Privacy-preserving learning	Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies
probability calibration	GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media
Process Mining ·	Adaptive Online Concept Drift Detection in Process Mining using GAN-based Representation Learning
production planning and scheduling	Data-driven model transformation of Resource-Constrained Problems in Production and Logistics
Prototype Learning	MAP-Seg: Semi-Parametric Prototype Learning for Few-Shot Logging Detection in Aerial Imagery
pruning	Shapley Pruning for Neural Network Compression
Pseudo-IDList	WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
Python	How Smart is Smart Enough? Benchmarking LLMs with Embedding-Based Similarity in Python Code Generation
Q
QR Code Recognition	An approach towards object identification in logistics using QR codes
QR Codes	A High-Readability and Image-Integrated QR Code Generation Method
Query	On Discovering High Utility Core Co-Location Patterns From Spatial Datasets
query rewriting	ViQR-Decider: Lightweight Vietnamese Query Rewriting with Decider Tokens and Synthetic Data
Question-Answering Systems	SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents
Quorumcast Routing Problem	New Mixed-Integer Linear Programming Formulations with Redundant Variables for Elementary Shortest Path and Quorumcast Routing Problems
R
RAF-DB	Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: A Balanced and Diverse Dataset
Random Forest	An Explainable Framework for Brain Connectivity-Based Autism Diagnosis Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Random Forest Regression	An Adaptive Resampling Hyperparameter Prediction Framework for Improved Classification on Imbalanced Datasets based on Self-Feature Analysis
Random Forests	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data Prediction of employee absence in a telecommunication company using machine learning models Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses
Random search	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data
Random trees	Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data
Real-time Object Detection	Enhancing AGWO-YOLO for Surveillance: Real-Time Human Detection with Adaptive Grey Wolf Optimizer
Recommendation system	A Personalized News Recommendation Technique based on Generalized Additive Mixed Effect Model Sentiment Analysis in Recommendation Systems: An Exploration with a Special Focus on Arabic Language
Recommendation Systems	Enhancing ACCENT with Causality
Redundant Variables	New Mixed-Integer Linear Programming Formulations with Redundant Variables for Elementary Shortest Path and Quorumcast Routing Problems
Reed–Solomon codes	A High-Readability and Image-Integrated QR Code Generation Method
rehearsal-based method	GMPA: Enhancing Continual Learning with Rehearsal-based Method via Gaussian Mixture Prototype Augmentation
reinforcement learning	Exploring Action Selection Methods in User-Driven Image Generation Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration
Relation Extrac-tion	DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Reliability	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Remaining Useful Life	Explaining LSTM Battery RUL Prediction via Temporal Attribution
Remote sensing visual grounding	Asymmetric Hierarchical Fusion for Visual Grounding in SAR Images
repeating patterns	A Content-Based Music Recommender System by Integrating Music Repeating Patterns and User Preference Ratings
representation learning	Utilizing Representation Learning for ECG-based Authentication
Resampling Hyperparameters	An Adaptive Resampling Hyperparameter Prediction Framework for Improved Classification on Imbalanced Datasets based on Self-Feature Analysis
Research management	A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management
Resource-constrained optimization	Data-driven model transformation of Resource-Constrained Problems in Production and Logistics
retrieval	CLIP-based dual-encoder approach for Sketch-to-Image Retrieval
Retrieval Augmented Generation	Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data
Retrieval-Augmented Generation	Integrating Large Language Models with Symbolic Reasoning for Knowledge Graph–Driven Legal Query System SBV-LawGraph: A Hybrid RAG Approach Integrating Knowledge Graph for the State Bank of Vietnam Legal Documents ContextGeo: A context engineering framework for multi-agent geospatial AI systems
Retrival-Augmented Generation	Mechanistic Traceability in Drug-Disease Association Discovery: A Deterministic Graph-RAG Approach
reverb	Spatial Audio Simulation in Video Games
RISC-V	A neural network enhanced RISC-V processor architecture designed in FPGA
risk management	Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models
roadway lighting	Infrastructure Abstract Graph for Modeling and Comparative Evaluation of Optimization Methods
Robustness	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Rough set classification	Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
rumor detection	GRIT-R: A Graph–Text Fusion Framework with Gated Integration for Rumor Detection on Social Media
S
sample entropy	Evaluating the Impact of External Perturbations on Human Gait Dynamics Using Entropy Measures
SBIR	CLIP-based dual-encoder approach for Sketch-to-Image Retrieval
Science and education	Towards organically working AI
Science automation	Behind PRISMA’s Success: Generative Artificial Intelligence Support in Systematic Reviews
scope of applicability	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
SDN	Design and Implementation of an Intelligent Adaptive Path Selection Mechanism for SDN-Orchestrated SRv6 Networks
Seasonal Temporal Patterns	Distributed Seasonal Temporal Pattern Mining
Security	Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain Interpretable Cooperative MARL for Intrusion Detection via Logical Rule Integration Method of Optimizing Microservices Security Based on Workload
Segment Routing	Design and Implementation of an Intelligent Adaptive Path Selection Mechanism for SDN-Orchestrated SRv6 Networks
SegViT	SegViT-Based Segmentation of Common Carotid Artery Ultrasound Images
Self-distillation	A Combined Back-Translation and Self-Distillation Approach for Robust and Calibrated Polish Medical Text Classification
Self-Supervised Learning	Causal Time-Series GNN with XAI for Stock Market Fraud Detection
Self-supervisedlearning	Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation
Semantic communication	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
semantic metamodel	A Semantic Approach for Legal Norm Representation with Explicit Scope and Deontic Modality
Semantic Segmentation	SegViT-Based Segmentation of Common Carotid Artery Ultrasound Images
Semi-structured webpages	DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Sensitivity analysis	Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Sentiment Analysis	Sentiment Analysis in Recommendation Systems: An Exploration with a Special Focus on Arabic Language
Sequential pattern mining	WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
Sequential recommendation	LUMOS: LLM-Driven Contrastive Federated Sequential Recommendation
SHAP	SHAP-Guided LightGBM Classification of Neuropathic EMG Signals
SHAP-values	A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models
shapley value	Shapley Pruning for Neural Network Compression
Shapley-values	A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models
Simulated Annealing	Optimizing Technical-indicator-based Trading Strategies Using a Modified Grey Wolf Optimizer A Variational Adversarial Game Framework for Robust Network Intrusion Detection
simulation	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
Skeleton action recognition	Energy-Based Motion Pattern Detection with Partial Distance Correlation
Skeleton data	Early-Stage Integration of Attention Mechanisms in OmniPose for Human Pose Estimation
sketch	CLIP-based dual-encoder approach for Sketch-to-Image Retrieval
sketch-to-image	CLIP-based dual-encoder approach for Sketch-to-Image Retrieval
Skin Cancer	Improving Skin Cancer Diagnosis via Deep Metric Learning, Center-Based Down Sampling, and Test-Time Augmentation Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata
Slot filling	VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling
Smart Camera Surveillance	Enhancing AGWO-YOLO for Surveillance: Real-Time Human Detection with Adaptive Grey Wolf Optimizer
Smart healthcare	Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain
smart manufacturing	AI-Assisted Diagnosis and Correction of Anomalies in Tradi-tional Production Line
Smart Streetlight	Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing
Smishing detection	Fine-tuning of Multilingual Language Models for Low-Resource Smishing Detection using LoRA
Social Media	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Societal impact of AI	Towards organically working AI
Soft-Rectangle Packing	Solving Soft-Rectangle Packing with Guillotine Constraints for Field Allocation in Vietnamese Agriculture
Software Defined Networks	A Variational Adversarial Game Framework for Robust Network Intrusion Detection
Software Development	How Smart is Smart Enough? Benchmarking LLMs with Embedding-Based Similarity in Python Code Generation
Spatial Databases	ContextGeo: A context engineering framework for multi-agent geospatial AI systems
Spatial dataset	On Discovering High Utility Core Co-Location Patterns From Spatial Datasets
Speaker embeddings	Enhancing Speaker Verification with Whispered Speech via Post-Processing
Speaker verification	Enhancing Speaker Verification with Whispered Speech via Post-Processing
Spelling Correction	Context-Aware Assamese Spelling Detection Using Fine-Tuned Transformer Models
Spelling Detection	Context-Aware Assamese Spelling Detection Using Fine-Tuned Transformer Models
SRv6	Design and Implementation of an Intelligent Adaptive Path Selection Mechanism for SDN-Orchestrated SRv6 Networks
Standard Scaler	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
stock portfolio	Evaluating Deep Learning Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange
stratified sampling	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
Structured pruning	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
Supervised Learning	An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Sustainable computing	Trustworthy and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing
sustained attention	FOCUS+: Enhancing Sustained Attention Through Comparative Evaluation of Digital and Physical Interventions
Swin Transformer	Secure Semantic Communications with Adversarial Training and Active Eavesdropper
Symbolic Reasoning	Integrating Large Language Models with Symbolic Reasoning for Knowledge Graph–Driven Legal Query System
Synthetic aperture radar (SAR)	Asymmetric Hierarchical Fusion for Visual Grounding in SAR Images
synthetic data	ViQR-Decider: Lightweight Vietnamese Query Rewriting with Decider Tokens and Synthetic Data
System Architecture	An approach towards object identification in logistics using QR codes
Systematic review methodology	Behind PRISMA’s Success: Generative Artificial Intelligence Support in Systematic Reviews
T
t-distributed Stochastic Neighbor Embedding	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Telecommunications	Prediction of employee absence in a telecommunication company using machine learning models
Temporal Convolutional Networks	Haar Decomposition with Cross Attention for Time Series Anomaly Detection
Temporal Knowledge Graph (TKG)	ViTKGQA: A Vietnamese Temporal Knowledge Graph Question Answering Method
Temporal Pattern Mining	Distributed Seasonal Temporal Pattern Mining
temporal segmentation	Modeling Emergent Group Processes from Verbal Interaction Dynamics
Test-Time Augmentation	Improving Skin Cancer Diagnosis via Deep Metric Learning, Center-Based Down Sampling, and Test-Time Augmentation
text classification	Identifying distress in Vietnamese narratives: dataset construction and model benchmarking A Hybrid Method for Emotions and Sarcasm Detection in Polish Language
Text Region Detection	Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration
Text Restoration and Correction	Exploring Large Language Models' Ability in Text Correction and Restoration for Vietnamese Hate Speech Detection
Text Standardization	Exploring Large Language Models' Ability in Text Correction and Restoration for Vietnamese Hate Speech Detection
Text-to-speech	Adapting Emotional Expressiveness in Text-to-Speech for Low-Resource Languages
Theory of Mind	Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Ethical Tutoring
Threat Intelligence	Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data
Three-way clustering	3W-DBSCAN-IS: A Three-Way Density-Based Clustering Framework for Uncertainty-Aware Medical Image Segmentation
time series	Towards plausibility in time series counterfactual explanations
Time series analysis	A Context-Aware Framework for Time Series Forecasting of Energy Consumption: A Maritime Case Study
Time series anomaly detection	Haar Decomposition with Cross Attention for Time Series Anomaly Detection Causal Time-Series GNN with XAI for Stock Market Fraud Detection
time series classification	Towards plausibility in time series counterfactual explanations
TimeSHAP	Explaining LSTM Battery RUL Prediction via Temporal Attribution
Title generation	Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders
TKG Completion	ViTKGQA: A Vietnamese Temporal Knowledge Graph Question Answering Method
TKG Question Answering	ViTKGQA: A Vietnamese Temporal Knowledge Graph Question Answering Method
Topic Modeling	Temporal Graph Refinement and Reasoning Path Extraction for Legal Document Retrieval
topo-logical-based clustering	Fast-NSTBC: A scalable topological-based clus-tering method for large network-constrained geo-spatial data
Topological data analysis	Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
trading strategy portfolio	Optimizing Technical-indicator-based Trading Strategies Using a Modified Grey Wolf Optimizer
Transfer Learning	Advancing Vietnamese Visual Question Answering via Adapter-Augmented Cross-Lingual Embedding Integration
Transformer	A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images An Explainable Framework for Brain Connectivity-Based Autism Diagnosis Brain Tumor Detection by Improving Deep Learning Techniques and Image Processing PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features CBiF-Net: A Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation
Transformer models	Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders
transformer-based models	Identifying distress in Vietnamese narratives: dataset construction and model benchmarking AutoViVQA: A Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering
Transformers	Context-Aware Assamese Spelling Detection Using Fine-Tuned Transformer Models
translation of semantics	FLAT: A Method for Accurate Evaluation of Semantic Preservation in Conceptual Model Transformations
Tree models	A Comparison of Feature Selection using SHAP-Values for Tree and Non-tree-based Models
True Range	Enhancing Opening Range Breakout Strategies with LSTM-based True Range Prediction
Trustworthy AI	Trustworthy and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
U
U-Net	An Attention-Enhanced Architecture with Multi-Objective Hyperparameter Optimization for Efficient Lung Segmentation
Ultrasound images	A Lightweight CNN-Transformer Hybrid Network for Efficient Cancer Detection Using Ultrasound Images
Ultrasound Imaging	SegViT-Based Segmentation of Common Carotid Artery Ultrasound Images
Uncertainty quantification	Explainable and Robust Conformer for Multi-Label Chest X-Ray Classification
Uniform Manifold Approximation and Projection	Automated Fraud Detection in Financial Transactions: A Comparative Study of PCA, t-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches
Unstructured pruning	From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction
Unsupervised learning	Haar Decomposition with Cross Attention for Time Series Anomaly Detection 3W-DBSCAN-IS: A Three-Way Density-Based Clustering Framework for Uncertainty-Aware Medical Image Segmentation Modeling Emergent Group Processes from Verbal Interaction Dynamics
Untargeted	Speech-EA: Evolutionary Algorithm-based Attack on Automatic Speech Recognition Systems
Upper bounds	WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
user preference learning	Exploring Action Selection Methods in User-Driven Image Generation
Utility Mining	Federated Two-Phase High-Utility Mining
V
variance reduction	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
Vegetable Prices Predictive	Causal Interactions Among Climate, Prices, and Trading Volumes in Vegetable Price Forecasting
verbal interaction dynamics	Modeling Emergent Group Processes from Verbal Interaction Dynamics
Video captioning	Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework
Video Copy Detection	Efficient Logic Gate Networks for Video Copy Detection
video game	Spatial Audio Simulation in Video Games
Video Temporal Segmentation	Towards Dynamic Key Frames based Temporal Segmentation for Activity Recognition
Video Understanding	Towards Dynamic Key Frames based Temporal Segmentation for Activity Recognition
Vietnamese Dataset	AutoViVQA: A Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering
Vietnamese Hate Speech Detection	Exploring Large Language Models' Ability in Text Correction and Restoration for Vietnamese Hate Speech Detection
Vietnamese Intangible Cultural Heritage	HeritKAN: Robust and Ensemble Kolmogorov–Arnold Networks for Intangible Cultural Heritage Classification
Vietnamese language understanding	VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling
Vietnamese Legal Documents	Temporal Graph Refinement and Reasoning Path Extraction for Legal Document Retrieval
Vietnamese narrative	Identifying distress in Vietnamese narratives: dataset construction and model benchmarking
Vietnamese Visual Question Answering	Advancing Vietnamese Visual Question Answering via Adapter-Augmented Cross-Lingual Embedding Integration AutoViVQA: A Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering
Vision Transformer	Improving Skin Lesion Prediction Performance by Integrating Clinical Metadata Towards Dynamic Key Frames based Temporal Segmentation for Activity Recognition Seg-JEPA: Joint-Embedding Predictive Architecture for Self-Supervised Medical Image Segmentation Explainable ResNet–Transformer Fusion with Belief Function Theory for Automated Infection Detection and Severity Assessment in Cactus Pears
Vision-Language Model	Advancing Vietnamese Visual Question Answering via Adapter-Augmented Cross-Lingual Embedding Integration
Visual Question Answering	CSMC-VQA: Dynamic Code-Switch Multimodal Curriculum Learning for Vietnamese Visual Question Answering
visual stylization	A High-Readability and Image-Integrated QR Code Generation Method
ViT	Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: A Balanced and Diverse Dataset
Volatility	Enhancing Opening Range Breakout Strategies with LSTM-based True Range Prediction
Voting modeling	Voting Rule-Based Framework for Multi-Label Emotion Detection
W
Warehouse Logistics	An approach towards object identification in logistics using QR codes
Watermarking	Secure and Semi-Fragile Image Authentication Using Autoencoder-Based Watermarking and Al-Kindi Encryption
Wavelet Neural Networks	Adaptive Medical Image Watermarking Based on Multi-Resolution Function Contribution and Wavelet Neural Networks
Web information extraction	DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Weighted patterns	WSUI: An Efficient Weighted Sequential Pattern Mining Algorithm Using Indices and Frequency-Based Weighting
Wendland Kernels	HeritKAN: Robust and Ensemble Kolmogorov–Arnold Networks for Intangible Cultural Heritage Classification
Whispered speech	Enhancing Speaker Verification with Whispered Speech via Post-Processing
Workflow reliability	From Generation to Action: The Evolution, Core Architecture, and Challenges of AI Agents
Workload	Method of Optimizing Microservices Security Based on Workload
X
XAI	An Explainable Framework for Brain Connectivity-Based Autism Diagnosis
XGBoost	Prediction of employee absence in a telecommunication company using machine learning models Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses
Y
YOLO	Comparative Analysis of Seven YOLO Architectures Applied for the Detection of Objects of Different Scale at Different Scene Densities
YOLOv11	Advancing Arabic Named Entity Recognition in Invoices with YOLOv11, BERT, Active Learning, and LLM Integration

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