ISAIR2026: THE 11TH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND ROBOTICS 2026

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

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2D-3D correspondence	FoundationPose-GS: Integrating Gaussian Splatting into FoundationPose for 6D Pose Reffnement
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3D convolutional neural network	Segmentation-Guided Multi-scale Attention 3D Network for Entry Tear Location Classification in Stanford Type A Aortic Dissection
3D convolutional neural networks	3D Hand Pose Estimation Based on Multi-scale Feature Fusion and 3D Convolutional Neural Network
3D hand pose estimation	3D Hand Pose Estimation Based on Multi-scale Feature Fusion and 3D Convolutional Neural Network
3D Mesh Encryption	A Controllable Layered Arnold-DNA Encryption Scheme for 3D Mesh Models
3D Model	LiDAR scanning for 3D Image Capture in Digital Twin
3D Point Cloud	Sparse3D-U: Sparse Convolution-Based U-Net for Enhanced 3D Point Cloud Segmentation
3D Reconstruction	VGGT-based Fast Map Generation Framework for Indoor Mobile Robots
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6D object pose estimation	6D Object Pose Estimation for Robotic Manipulation: From Geometric Perception to Task-Level Reliability
6D pose estimation	FoundationPose-GS: Integrating Gaussian Splatting into FoundationPose for 6D Pose Reffnement GRPose: Geometric Scoring and Recurrent Pose Refinement for Zero-Shot 6D Pose Estimation CAD-Prior Vision-Guided Peg-in-Hole Assembly with Simulation-Based Force Correction
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A-share Market	MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction
A-star	Enhanced Dynamic Window Approach for Path Planning of MASS in Complex Wave Environments
Ablation Study	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms
Abnormal image generation	GridDefectGen: Controllable Abnormal Image Generation for Power Equipment
acoustic event classification	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
Adaptive Desk Lamp Control	AttnLight: A Real-Time Single-Channel EEG-Based Brain-Machine Interface System for Adaptive Lightness Control of the Desk Lamp
Adaptive Distillation	HDAF-CAD: A Hybrid Data Augmentation and Fusion-driven Cross-modal Adaptive Distillation Framework
adaptive fuzzy control	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
Adaptive grasping	A Review of Underwater Soft Gripping Hands: From Terrestrial Soft Hands to Underwater Intelligent Grasping
Adaptive Propagation	Motion-Aware Adaptive Propagation Method for Video Super-Resolution
adaptive sampling	DGSSA-YOLO: Dual-Granularity State-Space Adaptation with Scale-Quality Reweighting for Mechanical Component Detection
Adaptive Temporal Fusion	Frame Difficulty-driven Bidirectional Adaptive Network for Video Super-Resolution
Adaptive Weighted Feature Selection	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
Additional Capacitor	Reclosing Decision Method Based on Voltage Response Characteristics and Bayesian Optimized Random Forest
Agent Interaction	A Big Five Personality Assessment Method Based on DeepSeek Agent Interaction
Anisotropic attention	AIA:Anisotropic Interactive Attention for Real-Time UAV Object Detection
Anomaly Detection	SF-IAD: A Semantic Fusion and Imbalanced Anomaly Detection Framework for Modern Power Systems A Review of Anomaly Detection in the Context of Privacy and Sample Imbalance
Ant lion optimizer	A novel binary ant lion optimizer for solving 0-1 knapsack problem
ANYmal	Object-Centric Multi-Agent Reinforcement Learning for Cooperative Dual-Quadruped Transport
Architectural optimization	YOLO-Based Object Detection: Improvements and Performance Analysis
Arnold Scrambling	A Controllable Layered Arnold-DNA Encryption Scheme for 3D Mesh Models
Artifact Classiffcation	Artifact Classiffcation in Medical CT Images Based on an Improved EfffcientNet Architecture
artifact suppression	F-DCRNN: Frequency-Decoupled Controllable Recurrent Networks for Underwater Compressed Video Super-Resolution
ASMK	VGGT-based Fast Map Generation Framework for Indoor Mobile Robots
assembly	6D Object Pose Estimation for Robotic Manipulation: From Geometric Perception to Task-Level Reliability
Attention	MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction
Attention Detection	AttnLight: A Real-Time Single-Channel EEG-Based Brain-Machine Interface System for Adaptive Lightness Control of the Desk Lamp Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
Attention head analysis	QPEH: Question-Peak Expert Heads based LayoutLM for Document Visual Question Answering
Attention Mechanism	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms CASA-YOLO: A High-Performance Underwater Object Detection Model Based on Sonar Images Dual-Attention Guided Federated Semi-Supervised Learning for Lung Tumor Segmentation Artifact Classiffcation in Medical CT Images Based on an Improved EfffcientNet Architecture
Attention-guided reconstruction	DPVSR: Detail-Preserved Lightweight Video Super-Resolution via Dual-Path Propagation and Gated Reconstruction
Authenticated Encryption	Secure Ultra-Low-Bitrate Underwater Video Compression with Perception-Guided Latent Protection
autonomous navigation	Design and Implementation of an Autonomous Navigation and Task Interaction System for Quadruped Robot-Based Sample Transportation in Factory Environments
B
barrier Lyapunov function	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
Bayesian Optimization	Reclosing Decision Method Based on Voltage Response Characteristics and Bayesian Optimized Random Forest
BCI EEG	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
BERT	Classification of Social Media Posts Based on Image and Text Information
Bidirectional Co-Attention	Multimodal Framework for Automotive News Classification with Multi-scale Semantic Equilibrium Learning Transformer
Bidirectional Recurrent Propagation	Frame Difficulty-driven Bidirectional Adaptive Network for Video Super-Resolution
Big Five Personality	A Big Five Personality Assessment Method Based on DeepSeek Agent Interaction
Bilateral Teleoperation	A Review of Digital Twin Augmented Teleoperation Systems for Transparency
Bilinear interaction terms	FC-SMFL: A Feature Calibration-based Self-adaptive Multi-view Fusion Learning Model for DDI Prediction
BiLSTM	A Multi-scale Decomposition and Adaptive Fusion iTransformer for Photovoltaic Power Forecasting
Binary version of the ant lion optimizer	A novel binary ant lion optimizer for solving 0-1 knapsack problem
Biological Age prediction	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
Blind Face Restoration	Identity Obfuscation and Steganographic Recovery Network for Face Privacy Protection
BoTSORT	RE-BotSORT: Improved Pedestrian Tracking Algorithm for Complex Scenes
Brain-Computer Interface	SSVEP Based Brain Computer Interface System for Smart Sofa Control Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions An Intent-Controlled Direct Command System Based on Brain-Computer Interface Using EEGNet and Majority Voting Smoothing Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
Brain-Machine Interface	AttnLight: A Real-Time Single-Channel EEG-Based Brain-Machine Interface System for Adaptive Lightness Control of the Desk Lamp
brainprint recognition	Band-RPA: Band-Wise Riemannian Procrustes Alignment for Cross-Session EEG Brainprint Recognition
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CAD prior	CAD-Prior Vision-Guided Peg-in-Hole Assembly with Simulation-Based Force Correction
camera calibration	Modular Upper-Computer Design and Isaac Sim Digital Twin for Centralized FIRA Soccer Robots
caregiving conversation	Domain-Informed Prompting with GPT-4o mini for Speech-Lock Classification in Caregiving Conversations
CBAM	Remote Sensing Ship Target Detection Based on Improved YOLOv11-OBB
CBAM Attention Mechanism	Object Detection and Congestion Evaluation Using YOLO and Attention in Traffic Scenes
Children ADHD	Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
Closed-loop driving simulator	Short-Horizon Optimization-Based Shared Driving in a Closed-Loop Driving Simulation Platform
Cobalt-rich crusts	Deep Learning-Based Quantitative Analysis of Cobalt-Rich Crusts Using Underwater LIBS Turbidity-Robust Underwater LIBS Quantification of Cobalt-Rich Crusts
Complex Pipeline Networks	Multi-Objective Topological Optimization of Mine Back-fill Pipeline Networks in Complex Terrains
Complex Scenes	RE-BotSORT: Improved Pedestrian Tracking Algorithm for Complex Scenes
compliant docking	Force-Bounded Vision-Force Coupled Docking of a 2.5 t Radio Telescope Feed Receiver in Confined Space
Computational Pathology	SS-MEF: A State Space-based Multimodule Enhancement Fusion Framework for Lung Adenocarcinoma Survival Prediction
Computed Tomography Imaging	Artifact Classiffcation in Medical CT Images Based on an Improved EfffcientNet Architecture
Conditional Coding	A Survey of Neural Video Compression: From End-to-End Learning to Generative Models
confidence-guided learning	F-DCRNN: Frequency-Decoupled Controllable Recurrent Networks for Underwater Compressed Video Super-Resolution
Consistency Training	Wasserstein-Distance Guided Consistency Training for Image Generation via Efficient One-Step Diffusion
Contextual Anomalies	Deep Learning-Based Multivariate Time Series Contextual Anomaly Detection: From Transformers to Large Language Models
Contrastive Learning	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
Controllable generation	GridDefectGen: Controllable Abnormal Image Generation for Power Equipment
Convolution Kernel	An Efficient Lightweight Feature-Enhanced Network for Accurate 6D Object Pose Estimation with Reduced Computational Complexity
Convolutional Block Attention Module	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms
Core Prototype Learning	CB-HDD: Core-Aware Hyperbolic Dataset Distillation via Local Prototype Alignment
Crack detection	Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Cross-Attention Gating Fusion Model	Research on Emotion Recognition Based on Feature Fusion of EEG and Eye Movement Signals
Cross-Modal Fusion	CMGRL: A Cross-Modal Graph Representation Learning-based recommendation Model
Cross-scale feature fusion	DPF-YOLO: Detail-Preserving Feature Fusion and Robust Localization for Underwater Small-Object Detection
Cross-view distillation	G2D-Net: Regime-Aware Cross-View Privileged Disentanglement for Long-Tailed Single-View X-ray Detection
curvature-aware speed planning	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
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Data imbalance	A Review of Anomaly Detection in the Context of Privacy and Sample Imbalance
database curation	Research on Automated Classification and Topic Discovery in Medical Reports Based on Document Embedding and Large Language Models
Dataset condensation	Complementing M3D with Shallow Feature Moment Matching for Dataset Condensation
Dataset Distillation	CB-HDD: Core-Aware Hyperbolic Dataset Distillation via Local Prototype Alignment
Deep Learning	KTMPose: A Keypoint-Prior Guided Transformer-Mamba Network for Human Pose Estimation Object Detection in Power Systems: A Comprehensive Survey Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions Classification of Social Media Posts Based on Image and Text Information Deep Learning-Based Quantitative Analysis of Cobalt-Rich Crusts Using Underwater LIBS Multi-Condition Underwater Image Enhancement Based on Rectified Flow Artifact Classiffcation in Medical CT Images Based on an Improved EfffcientNet Architecture Turbidity-Robust Underwater LIBS Quantification of Cobalt-Rich Crusts
Deep reinforcement learning	SF-IAD: A Semantic Fusion and Imbalanced Anomaly Detection Framework for Modern Power Systems Adaptive Sliding Mode Control for Flexible-Joint Robots Using Deep Reinforcement Learning
Deep-sea mining collector head	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
deep-sea mining vehicle	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
Deepfake detection	DAT-SeqFakeFormer: Dual-Attention Sequential Deepfake Detection with Multi-Scale Information
Delayed feedback	Completion-Aware Group Calibration of Diffusion-Serving Latency under Production Drift
detection	Deepfake Video Detection Based on Physical Prior Guidance and Dual-scale Temporal Modeling
DFT	A Hybrid Informer-Mamba Model for Electricity Load Forecasting via DFT Decomposition
differentiable rendering	FoundationPose-GS: Integrating Gaussian Splatting into FoundationPose for 6D Pose Reffnement
differential privacy	A Review of Privacy Protection in Power Systems
Diffusion model serving	Completion-Aware Group Calibration of Diffusion-Serving Latency under Production Drift
Diffusion models	GridDefectGen: Controllable Abnormal Image Generation for Power Equipment A Survey of Neural Video Compression: From End-to-End Learning to Generative Models Multi-Condition Underwater Image Enhancement Based on Rectified Flow Diffusion Models for Robot Manipulation: A Review of Policy Learning, Geometric Reasoning, and Scalable
Digital Twin	Multi-Objective Topological Optimization of Mine Back-fill Pipeline Networks in Complex Terrains LiDAR scanning for 3D Image Capture in Digital Twin Modular Upper-Computer Design and Isaac Sim Digital Twin for Centralized FIRA Soccer Robots
Digital Twin Controller Design	A Review of Digital Twin Augmented Teleoperation Systems for Transparency
Dimension reduction	AIA:Anisotropic Interactive Attention for Real-Time UAV Object Detection
Directional attention	Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Distribution matching	Complementing M3D with Shallow Feature Moment Matching for Dataset Condensation CB-HDD: Core-Aware Hyperbolic Dataset Distillation via Local Prototype Alignment
disturbance observer	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
Division-of-focal-plane camera	Underwater Image Restoration with Polarization Cameras: Acquisition, Physical Inversion, and Physics-Guided Learning
DNA Diffusion	A Controllable Layered Arnold-DNA Encryption Scheme for 3D Mesh Models
document embeddings	Research on Automated Classification and Topic Discovery in Medical Reports Based on Document Embedding and Large Language Models
Document visual question answering	QPEH: Question-Peak Expert Heads based LayoutLM for Document Visual Question Answering
DreamCatcher	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
Drug-drug interaction	FC-SMFL: A Feature Calibration-based Self-adaptive Multi-view Fusion Learning Model for DDI Prediction
dual-scale temporal modeling	Deepfake Video Detection Based on Physical Prior Guidance and Dual-scale Temporal Modeling
Dual-view representation fusion	DGCNet: A Dynamic Graph Network with Multi-Level Similarity Aggregation
DWA	Enhanced Dynamic Window Approach for Path Planning of MASS in Complex Wave Environments
dynamic clinical prompting	SM-GHMRL: A Semantic-Matching Gated Hierarchical Multimodal Representation Learning Framework
Dynamic Depth Refinement	Frame Difficulty-driven Bidirectional Adaptive Network for Video Super-Resolution
Dynamic graph network	DGCNet: A Dynamic Graph Network with Multi-Level Similarity Aggregation
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edge vision	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
EEG	Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
EEG biometrics	Band-RPA: Band-Wise Riemannian Procrustes Alignment for Cross-Session EEG Brainprint Recognition
EEG decoding	Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions
EEG Signal Processing	SSVEP Based Brain Computer Interface System for Smart Sofa Control
EEGNet	An Intent-Controlled Direct Command System Based on Brain-Computer Interface Using EEGNet and Majority Voting Smoothing
EfffcientNet	Artifact Classiffcation in Medical CT Images Based on an Improved EfffcientNet Architecture
egg counting	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
EIoU Association	RE-BotSORT: Improved Pedestrian Tracking Algorithm for Complex Scenes
Electricity Load Forecasting	A Hybrid Informer-Mamba Model for Electricity Load Forecasting via DFT Decomposition
Electroencephalography	Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions
Electromagnetic generator	A High Power-Density EMG–TENG Hybrid Generator for Ocean Current Energy Harvesting
End-to-End Learning	A Survey of Neural Video Compression: From End-to-End Learning to Generative Models
Ensemble Learning	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
Entity enhancement	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
entry tear classification	Segmentation-Guided Multi-scale Attention 3D Network for Entry Tear Location Classification in Stanford Type A Aortic Dissection
Epigenetic Clock	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
ESP32	An Intent-Controlled Direct Command System Based on Brain-Computer Interface Using EEGNet and Majority Voting Smoothing
eye-in-hand calibration	CAD-Prior Vision-Guided Peg-in-Hole Assembly with Simulation-Based Force Correction
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Face Privacy Protection	Identity Obfuscation and Steganographic Recovery Network for Face Privacy Protection
Face reconstruction	Region-Aware Optimization in PULSE for Privacy-Preserving Face Reconstruction
FAST	Force-Bounded Vision-Force Coupled Docking of a 2.5 t Radio Telescope Feed Receiver in Confined Space
Faster R-CNN	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms
Fault Identification	Reclosing Decision Method Based on Voltage Response Characteristics and Bayesian Optimized Random Forest
Feature calibration strategy	FC-SMFL: A Feature Calibration-based Self-adaptive Multi-view Fusion Learning Model for DDI Prediction
Feature Compression	CMGRL: A Cross-Modal Graph Representation Learning-based recommendation Model
Feature Extrac-tion	Sparse3D-U: Sparse Convolution-Based U-Net for Enhanced 3D Point Cloud Segmentation
Feature Extraction	Strokeformer: A transformer-based neural painting network with Effective Residual Squeeze Excitation
Feature fusion	CASA-YOLO: A High-Performance Underwater Object Detection Model Based on Sonar Images
Feature pyramid network	Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Feature Representation	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms
Feature statistics	Complementing M3D with Shallow Feature Moment Matching for Dataset Condensation
federated learning	A Review of Privacy Protection in Power Systems Dual-Attention Guided Federated Semi-Supervised Learning for Lung Tumor Segmentation
federated semi-supervised learning	Temporal Reliability-Aware Dynamic Aggregation for Federated Semi-Supervised Lung Nodule CT Image Segmentation
FIRA soccer	Modular Upper-Computer Design and Isaac Sim Digital Twin for Centralized FIRA Soccer Robots
Flexible joint robot	Adaptive Sliding Mode Control for Flexible-Joint Robots Using Deep Reinforcement Learning
Flexible sensing	A Review of Underwater Soft Gripping Hands: From Terrestrial Soft Hands to Underwater Intelligent Grasping
Forward-looking sonar images	CASA-YOLO: A High-Performance Underwater Object Detection Model Based on Sonar Images
Frame Difficulty Index	Frame Difficulty-driven Bidirectional Adaptive Network for Video Super-Resolution
Fuzzy rough sets	A Survey on Granular-Ball Computing-Driven Unsupervised Anomaly Detection
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gated multimodal representation learning	SM-GHMRL: A Semantic-Matching Gated Hierarchical Multimodal Representation Learning Framework
Gaussian splatting	FoundationPose-GS: Integrating Gaussian Splatting into FoundationPose for 6D Pose Reffnement
Generalized proportional integral observer	Adaptive Sliding Mode Control for Flexible-Joint Robots Using Deep Reinforcement Learning
Generative Compression	A Survey of Neural Video Compression: From End-to-End Learning to Generative Models
Global-local attention	DAT-SeqFakeFormer: Dual-Attention Sequential Deepfake Detection with Multi-Scale Information
Gradient Strategy Optimization	AWFS-GO: An Adaptive Weighted Feature Selection and Gradient Optimization Strategy-based Biological Age Prediction Model
Granular-ball computing	A Survey on Granular-Ball Computing-Driven Unsupervised Anomaly Detection
Graph Representation Learning	CMGRL: A Cross-Modal Graph Representation Learning-based recommendation Model
graph theory	Multiview Point Cloud Registration Using Overlap Confidence Prior and Robust Reweighting
grasping	6D Object Pose Estimation for Robotic Manipulation: From Geometric Perception to Task-Level Reliability
Greedy strategy	A novel binary ant lion optimizer for solving 0-1 knapsack problem
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Haptic Transparency	A Review of Digital Twin Augmented Teleoperation Systems for Transparency
heavy-payload robot	Force-Bounded Vision-Force Coupled Docking of a 2.5 t Radio Telescope Feed Receiver in Confined Space
Heterogeneous Computing	A Vision-Based Single Object Tracking System for Humanoid Robots Using a Heterogeneous Dual-Mainboard Architecture
Heterograph Fusion	CMGRL: A Cross-Modal Graph Representation Learning-based recommendation Model
Hierarchical Decryption	A Controllable Layered Arnold-DNA Encryption Scheme for 3D Mesh Models
Hierarchical dependency modeling	DGCNet: A Dynamic Graph Network with Multi-Level Similarity Aggregation
hierarchical visual feature fusion	SM-GHMRL: A Semantic-Matching Gated Hierarchical Multimodal Representation Learning Framework
homomorphic encryption	A Review of Privacy Protection in Power Systems
Human Pose Estimation	KTMPose: A Keypoint-Prior Guided Transformer-Mamba Network for Human Pose Estimation
Human-computer	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
Human-Computer Interaction	A Vision-Based Single Object Tracking System for Humanoid Robots Using a Heterogeneous Dual-Mainboard Architecture
Human-machine shared driving	Short-Horizon Optimization-Based Shared Driving in a Closed-Loop Driving Simulation Platform
Humanoid Robot	A Vision-Based Single Object Tracking System for Humanoid Robots Using a Heterogeneous Dual-Mainboard Architecture
Hybrid generator	A High Power-Density EMG–TENG Hybrid Generator for Ocean Current Energy Harvesting
Hyperbolic Dataset Distillation	CB-HDD: Core-Aware Hyperbolic Dataset Distillation via Local Prototype Alignment
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Identity Obfuscation	Identity Obfuscation and Steganographic Recovery Network for Face Privacy Protection
Image Capture	LiDAR scanning for 3D Image Capture in Digital Twin
image classification	SGI-Mamba: Semantic Group Interaction Mamba for Image Classification
Image descattering	Underwater Image Restoration with Polarization Cameras: Acquisition, Physical Inversion, and Physics-Guided Learning
Image Features	An Efficient Lightweight Feature-Enhanced Network for Accurate 6D Object Pose Estimation with Reduced Computational Complexity
Image Generation	Wasserstein-Distance Guided Consistency Training for Image Generation via Efficient One-Step Diffusion
Image quality	LiDAR scanning for 3D Image Capture in Digital Twin
Image Steganography	Identity Obfuscation and Steganographic Recovery Network for Face Privacy Protection
image-text alignment	SM-GHMRL: A Semantic-Matching Gated Hierarchical Multimodal Representation Learning Framework
Imbalanced Data	SF-IAD: A Semantic Fusion and Imbalanced Anomaly Detection Framework for Modern Power Systems
Imitation learning	Diffusion Models for Robot Manipulation: A Review of Policy Learning, Geometric Reasoning, and Scalable
industrial environment	Design and Implementation of an Autonomous Navigation and Task Interaction System for Quadruped Robot-Based Sample Transportation in Factory Environments
Information fusion	A Survey on Granular-Ball Computing-Driven Unsupervised Anomaly Detection
Informer	A Hybrid Informer-Mamba Model for Electricity Load Forecasting via DFT Decomposition
input saturation	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
Instance Segmentation	Sparse3D-U: Sparse Convolution-Based U-Net for Enhanced 3D Point Cloud Segmentation
Integrated sensing and communication (ISAC)	Millimeter-Wave Enhanced Integrated Sensing and Communication for Internet of Things Systems
Intelligent Sofa Control	SSVEP Based Brain Computer Interface System for Smart Sofa Control
Intelligent Transportation Systems	Object Detection and Congestion Evaluation Using YOLO and Attention in Traffic Scenes
interaction	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
Internet of Things	A Wave Energy Harvester for Self-Powered Smart City IoT
internet of things (IoT)	Millimeter-Wave Enhanced Integrated Sensing and Communication for Internet of Things Systems
interpretable machine learning	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
IoT	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
iTransformer	A Multi-scale Decomposition and Adaptive Fusion iTransformer for Photovoltaic Power Forecasting
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Japanese radiology reports	Research on Automated Classification and Topic Discovery in Medical Reports Based on Document Embedding and Large Language Models
Japanese Text Restoration	Evaluating GPT-5.5 for Proofreading Japanese Speech Transcripts Containing Pseudo-Tics
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Keyed Latent Protection	Secure Ultra-Low-Bitrate Underwater Video Compression with Perception-Guided Latent Protection
Keypoint Priors	KTMPose: A Keypoint-Prior Guided Transformer-Mamba Network for Human Pose Estimation
Knapsack problem	A novel binary ant lion optimizer for solving 0-1 knapsack problem
L
label-free alignment	Band-RPA: Band-Wise Riemannian Procrustes Alignment for Cross-Session EEG Brainprint Recognition
landmark-guided prior	Region-Aware Optimization in PULSE for Privacy-Preserving Face Reconstruction
large language model	Domain-Informed Prompting with GPT-4o mini for Speech-Lock Classification in Caregiving Conversations
Large Language Models	Deep Learning-Based Multivariate Time Series Contextual Anomaly Detection: From Transformers to Large Language Models Evaluating GPT-5.5 for Proofreading Japanese Speech Transcripts Containing Pseudo-Tics
Laser-Induced Breakdown Spectroscopy	Deep Learning-Based Quantitative Analysis of Cobalt-Rich Crusts Using Underwater LIBS Turbidity-Robust Underwater LIBS Quantification of Cobalt-Rich Crusts
Level set	A Probability-Driven Level Set Robust Segmentation Algorithm Based on Local Markov Random Field with Student’s t-Distribution Mixture Mode
LiDAR	LiDAR scanning for 3D Image Capture in Digital Twin
Lightweight attention	AIA:Anisotropic Interactive Attention for Real-Time UAV Object Detection
lightweight model	TCDMixer: A Lightweight Time-Frequency Mixing Model for Weather Time Series Forecasting
Lightweight network	Motion-Aware Adaptive Propagation Method for Video Super-Resolution DPVSR: Detail-Preserved Lightweight Video Super-Resolution via Dual-Path Propagation and Gated Reconstruction
Long-tailed detection	G2D-Net: Regime-Aware Cross-View Privileged Disentanglement for Long-Tailed Single-View X-ray Detection
long-term time series forecasting	TCDMixer: A Lightweight Time-Frequency Mixing Model for Weather Time Series Forecasting
LoRA	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
Lorentz Geometry	CB-HDD: Core-Aware Hyperbolic Dataset Distillation via Local Prototype Alignment
low-rank adaptation	MMLTrack: Unified Multimodal Visual Object Tracking via Mixture-of-Experts Parameter-Efficient Tuning
lung nodule segmentation	Temporal Reliability-Aware Dynamic Aggregation for Federated Semi-Supervised Lung Nodule CT Image Segmentation
Lung Tumor Segmentation	Dual-Attention Guided Federated Semi-Supervised Learning for Lung Tumor Segmentation
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M3D	Complementing M3D with Shallow Feature Moment Matching for Dataset Condensation
Machine Vision	A Vision-Based Single Object Tracking System for Humanoid Robots Using a Heterogeneous Dual-Mainboard Architecture
Majority Voting	An Intent-Controlled Direct Command System Based on Brain-Computer Interface Using EEGNet and Majority Voting Smoothing
Mamba	SGI-Mamba: Semantic Group Interaction Mamba for Image Classification MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction A Hybrid Informer-Mamba Model for Electricity Load Forecasting via DFT Decomposition
Market Guidance	MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction
Markov Random Field	A Probability-Driven Level Set Robust Segmentation Algorithm Based on Local Markov Random Field with Student’s t-Distribution Mixture Mode
MASS	Enhanced Dynamic Window Approach for Path Planning of MASS in Complex Wave Environments
mechanical component detection	DGSSA-YOLO: Dual-Granularity State-Space Adaptation with Scale-Quality Reweighting for Mechanical Component Detection
Medical language processing	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
medical text preprocessing	Research on Automated Classification and Topic Discovery in Medical Reports Based on Document Embedding and Large Language Models
MFCC	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
millimeter-wave (mmWave)	Millimeter-Wave Enhanced Integrated Sensing and Communication for Internet of Things Systems
Mine Backfill	Multi-Objective Topological Optimization of Mine Back-fill Pipeline Networks in Complex Terrains
mixture of experts	MMLTrack: Unified Multimodal Visual Object Tracking via Mixture-of-Experts Parameter-Efficient Tuning
Moment matching	Complementing M3D with Shallow Feature Moment Matching for Dataset Condensation
Motion Awareness	Motion-Aware Adaptive Propagation Method for Video Super-Resolution
Motion Recognitio	Research on Emotion Recognition Based on Feature Fusion of EEG and Eye Movement Signals
Motor Imagery	Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions An Intent-Controlled Direct Command System Based on Brain-Computer Interface Using EEGNet and Majority Voting Smoothing
Multi-granularity graph	CGA-MLF : A Cross Graph Attention-driven Multi-Label Learning Framework
Multi-granularity learning	A Survey on Granular-Ball Computing-Driven Unsupervised Anomaly Detection
Multi-head Cross-attention	HDAF-CAD: A Hybrid Data Augmentation and Fusion-driven Cross-modal Adaptive Distillation Framework
multi-head differential attention	A Multi-scale Decomposition and Adaptive Fusion iTransformer for Photovoltaic Power Forecasting
Multi-label learning	CGA-MLF : A Cross Graph Attention-driven Multi-Label Learning Framework
Multi-level similarity aggregation	DGCNet: A Dynamic Graph Network with Multi-Level Similarity Aggregation
Multi-object Tracking	RE-BotSORT: Improved Pedestrian Tracking Algorithm for Complex Scenes
Multi-Objective Optimization	Multi-Objective Topological Optimization of Mine Back-fill Pipeline Networks in Complex Terrains
Multi-region spatial attention	DAT-SeqFakeFormer: Dual-Attention Sequential Deepfake Detection with Multi-Scale Information
multi-robot systems	Modular Upper-Computer Design and Isaac Sim Digital Twin for Centralized FIRA Soccer Robots
multi-scale feature fusion	3D Hand Pose Estimation Based on Multi-scale Feature Fusion and 3D Convolutional Neural Network
Multi-Scale Spatial Features	Research on Emotion Recognition Based on Feature Fusion of EEG and Eye Movement Signals
Multidimensional Time Series	Deep Learning-Based Multivariate Time Series Contextual Anomaly Detection: From Transformers to Large Language Models
Multimodal	Research on Emotion Recognition Based on Feature Fusion of EEG and Eye Movement Signals
Multimodal Classification	Classification of Social Media Posts Based on Image and Text Information
Multimodal data fusion	HDAF-CAD: A Hybrid Data Augmentation and Fusion-driven Cross-modal Adaptive Distillation Framework
Multimodal document understanding	QPEH: Question-Peak Expert Heads based LayoutLM for Document Visual Question Answering
Multimodal Feature Fusion	SS-MEF: A State Space-based Multimodule Enhancement Fusion Framework for Lung Adenocarcinoma Survival Prediction
Multimodal News Classification	Multimodal Framework for Automotive News Classification with Multi-scale Semantic Equilibrium Learning Transformer
Multimodal Survival Prediction	SS-MEF: A State Space-based Multimodule Enhancement Fusion Framework for Lung Adenocarcinoma Survival Prediction
Multimodal visual object tracking	MMLTrack: Unified Multimodal Visual Object Tracking via Mixture-of-Experts Parameter-Efficient Tuning
Multiview point cloud registration	Multiview Point Cloud Registration Using Overlap Confidence Prior and Robust Reweighting
N
Neural machine translation	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
Neural Painting	Strokeformer: A transformer-based neural painting network with Effective Residual Squeeze Excitation
Neural Video Compression	ULTRA-VID: Real-Time Long-Range Video Streaming for Underwater Robots A Survey of Neural Video Compression: From End-to-End Learning to Generative Models Secure Ultra-Low-Bitrate Underwater Video Compression with Perception-Guided Latent Protection
New Power System	SF-IAD: A Semantic Fusion and Imbalanced Anomaly Detection Framework for Modern Power Systems A Review of Privacy Protection in Power Systems
NLLB	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
nnU-Net	Segmentation-Guided Multi-scale Attention 3D Network for Entry Tear Location Classification in Stanford Type A Aortic Dissection
Normalized Wasserstein distance	DPF-YOLO: Detail-Preserving Feature Fusion and Robust Localization for Underwater Small-Object Detection
nozzle clearance	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
O
Object Detection	Object Detection in Power Systems: A Comprehensive Survey Object Detection and Congestion Evaluation Using YOLO and Attention in Traffic Scenes Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Object-Centric Reward	Object-Centric Multi-Agent Reinforcement Learning for Cooperative Dual-Quadruped Transport
ObjectDetection	Remote Sensing Ship Target Detection Based on Improved YOLOv11-OBB
Ocean current energy harvesting	A High Power-Density EMG–TENG Hybrid Generator for Ocean Current Energy Harvesting
One-step Diffusion Models	Wasserstein-Distance Guided Consistency Training for Image Generation via Efficient One-Step Diffusion
Online conformal prediction	Completion-Aware Group Calibration of Diffusion-Serving Latency under Production Drift
Optical Flow Estimation	Motion-Aware Adaptive Propagation Method for Video Super-Resolution
overlap prior	Multiview Point Cloud Registration Using Overlap Confidence Prior and Robust Reweighting
P
Parameter	An Efficient Lightweight Feature-Enhanced Network for Accurate 6D Object Pose Estimation with Reduced Computational Complexity
parameter-efficient fine-tuning	MMLTrack: Unified Multimodal Visual Object Tracking via Mixture-of-Experts Parameter-Efficient Tuning
Partial mixup	HDAF-CAD: A Hybrid Data Augmentation and Fusion-driven Cross-modal Adaptive Distillation Framework
Path planning	Design and Implementation of an Autonomous Navigation and Task Interaction System for Quadruped Robot-Based Sample Transportation in Factory Environments Enhanced Dynamic Window Approach for Path Planning of MASS in Complex Wave Environments
peg-in-hole assembly	CAD-Prior Vision-Guided Peg-in-Hole Assembly with Simulation-Based Force Correction
Phonic Tics	Evaluating GPT-5.5 for Proofreading Japanese Speech Transcripts Containing Pseudo-Tics
Photovoltaic forecasting	A Multi-scale Decomposition and Adaptive Fusion iTransformer for Photovoltaic Power Forecasting
physical prior	Deepfake Video Detection Based on Physical Prior Guidance and Dual-scale Temporal Modeling
Physical priors	Multi-Condition Underwater Image Enhancement Based on Rectified Flow
Physics-guided learning	Underwater Image Restoration with Polarization Cameras: Acquisition, Physical Inversion, and Physics-Guided Learning
PM-DIoU	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
Polarization imaging	Underwater Image Restoration with Polarization Cameras: Acquisition, Physical Inversion, and Physics-Guided Learning
Pose Estimation	An Efficient Lightweight Feature-Enhanced Network for Accurate 6D Object Pose Estimation with Reduced Computational Complexity
pose refinement	FoundationPose-GS: Integrating Gaussian Splatting into FoundationPose for 6D Pose Reffnement GRPose: Geometric Scoring and Recurrent Pose Refinement for Zero-Shot 6D Pose Estimation
pose tracking	6D Object Pose Estimation for Robotic Manipulation: From Geometric Perception to Task-Level Reliability
Power equipment	GridDefectGen: Controllable Abnormal Image Generation for Power Equipment
Power Systems	Object Detection in Power Systems: A Comprehensive Survey
PP-OCRv4	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents
prescribed performance control	Flexible Prescribed-Performance Clearance Control for a Deep-Sea Mining Collector Head Under Terrain Variation and Input Saturation
Prescription Recommendation	CMGRL: A Cross-Modal Graph Representation Learning-based recommendation Model
PRISMA Systematic Review	A Review of Digital Twin Augmented Teleoperation Systems for Transparency
privacy	A Review of Privacy Protection in Power Systems
privacy preservation	Region-Aware Optimization in PULSE for Privacy-Preserving Face Reconstruction
Privacy protection	A Review of Anomaly Detection in the Context of Privacy and Sample Imbalance
Privileged learning	G2D-Net: Regime-Aware Cross-View Privileged Disentanglement for Long-Tailed Single-View X-ray Detection
prompt engineering	Domain-Informed Prompting with GPT-4o mini for Speech-Lock Classification in Caregiving Conversations
Psychometrics	A Big Five Personality Assessment Method Based on DeepSeek Agent Interaction
PULSE	Region-Aware Optimization in PULSE for Privacy-Preserving Face Reconstruction
Q
Quadruped robot	Design and Implementation of an Autonomous Navigation and Task Interaction System for Quadruped Robot-Based Sample Transportation in Factory Environments
Question-guided attention	QPEH: Question-Peak Expert Heads based LayoutLM for Document Visual Question Answering
R
Random Forest	Reclosing Decision Method Based on Voltage Response Characteristics and Bayesian Optimized Random Forest
real-time object detection	DGSSA-YOLO: Dual-Granularity State-Space Adaptation with Scale-Quality Reweighting for Mechanical Component Detection
Real-time streaming	ULTRA-VID: Real-Time Long-Range Video Streaming for Underwater Robots
Real-time UAV object detection	AIA:Anisotropic Interactive Attention for Real-Time UAV Object Detection
Reclosing	Reclosing Decision Method Based on Voltage Response Characteristics and Bayesian Optimized Random Forest
Recoverable Privacy Protection	Identity Obfuscation and Steganographic Recovery Network for Face Privacy Protection
Rectified Flow	Multi-Condition Underwater Image Enhancement Based on Rectified Flow
Recurrent propagation	DPVSR: Detail-Preserved Lightweight Video Super-Resolution via Dual-Path Propagation and Gated Reconstruction
region contrast pooling	Deepfake Video Detection Based on Physical Prior Guidance and Dual-scale Temporal Modeling
regionaware optimization	Region-Aware Optimization in PULSE for Privacy-Preserving Face Reconstruction
Reinforcement Learning	Object-Centric Multi-Agent Reinforcement Learning for Cooperative Dual-Quadruped Transport
RemoteSensing	Remote Sensing Ship Target Detection Based on Improved YOLOv11-OBB
report clustering	Research on Automated Classification and Topic Discovery in Medical Reports Based on Document Embedding and Large Language Models
RepOSNet	RE-BotSORT: Improved Pedestrian Tracking Algorithm for Complex Scenes
Residual Squeeze Excitation	Strokeformer: A transformer-based neural painting network with Effective Residual Squeeze Excitation
ResNet50	Classification of Social Media Posts Based on Image and Text Information
Riemannian geometry	Band-RPA: Band-Wise Riemannian Procrustes Alignment for Cross-Session EEG Brainprint Recognition
Rigid-soft coupling	A Review of Underwater Soft Gripping Hands: From Terrestrial Soft Hands to Underwater Intelligent Grasping
Robot manipulation	Diffusion Models for Robot Manipulation: A Review of Policy Learning, Geometric Reasoning, and Scalable
robotic manipulation	6D Object Pose Estimation for Robotic Manipulation: From Geometric Perception to Task-Level Reliability
Robotics	YOLO-Based Object Detection: Improvements and Performance Analysis
S
SAM	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents
scale-quality loss	DGSSA-YOLO: Dual-Granularity State-Space Adaptation with Scale-Quality Reweighting for Mechanical Component Detection
Scale-specialized attention	Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Seal detection	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents
Seal recognition	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents
seasonal-trend decomposition	A Multi-scale Decomposition and Adaptive Fusion iTransformer for Photovoltaic Power Forecasting
Segmentaion	GRPose: Geometric Scoring and Recurrent Pose Refinement for Zero-Shot 6D Pose Estimation
segmentation-guided learning	Segmentation-Guided Multi-scale Attention 3D Network for Entry Tear Location Classification in Stanford Type A Aortic Dissection
Self-adaptive multi-view fusion	FC-SMFL: A Feature Calibration-based Self-adaptive Multi-view Fusion Learning Model for DDI Prediction
Semantic Equilibrium Learning	Multimodal Framework for Automotive News Classification with Multi-scale Semantic Equilibrium Learning Transformer
Semantic Fusion	SF-IAD: A Semantic Fusion and Imbalanced Anomaly Detection Framework for Modern Power Systems
semantic group interaction	SGI-Mamba: Semantic Group Interaction Mamba for Image Classification
Semi-Supervised Learning	Dual-Attention Guided Federated Semi-Supervised Learning for Lung Tumor Segmentation
Sequential manipulation	DAT-SeqFakeFormer: Dual-Attention Sequential Deepfake Detection with Multi-Scale Information
Shared control	Short-Horizon Optimization-Based Shared Driving in a Closed-Loop Driving Simulation Platform
Short-horizon optimization	Short-Horizon Optimization-Based Shared Driving in a Closed-Loop Driving Simulation Platform
simulation-based force correction	CAD-Prior Vision-Guided Peg-in-Hole Assembly with Simulation-Based Force Correction
Single Object Tracking	A Vision-Based Single Object Tracking System for Humanoid Robots Using a Heterogeneous Dual-Mainboard Architecture
Single-Channel EEG	AttnLight: A Real-Time Single-Channel EEG-Based Brain-Machine Interface System for Adaptive Lightness Control of the Desk Lamp
sleep bruxism	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
Sliding mode control	Adaptive Sliding Mode Control for Flexible-Joint Robots Using Deep Reinforcement Learning
Small-object detection	DPF-YOLO: Detail-Preserving Feature Fusion and Robust Localization for Underwater Small-Object Detection
Smart home	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
Social Network Posts	Classification of Social Media Posts Based on Image and Text Information
Soft gripping hand	A Review of Underwater Soft Gripping Hands: From Terrestrial Soft Hands to Underwater Intelligent Grasping
Soft routing	G2D-Net: Regime-Aware Cross-View Privileged Disentanglement for Long-Tailed Single-View X-ray Detection
sonar image segmentation	A Probability-Driven Level Set Robust Segmentation Algorithm Based on Local Markov Random Field with Student’s t-Distribution Mixture Mode
Sparse Convolution	Sparse3D-U: Sparse Convolution-Based U-Net for Enhanced 3D Point Cloud Segmentation
spatial compatibility	Multiview Point Cloud Registration Using Overlap Confidence Prior and Robust Reweighting
Spatio-temporal convolution	Robust Motor Imagery Decoding via Frequency-Gated Multi-Scale Dilated Convolutions
Speech lock	Domain-Informed Prompting with GPT-4o mini for Speech-Lock Classification in Caregiving Conversations
Squeeze-and-Excitation	Enhancing Feature Representation in Faster R-CNN via SE and CBAM Attention Mechanisms
SSVEP	SSVEP Based Brain Computer Interface System for Smart Sofa Control
Stanford Type A aortic dissection	Segmentation-Guided Multi-scale Attention 3D Network for Entry Tear Location Classification in Stanford Type A Aortic Dissection
state space model	SS-MEF: A State Space-based Multimodule Enhancement Fusion Framework for Lung Adenocarcinoma Survival Prediction SGI-Mamba: Semantic Group Interaction Mamba for Image Classification
state-machine counting	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
state-space model	DGSSA-YOLO: Dual-Granularity State-Space Adaptation with Scale-Quality Reweighting for Mechanical Component Detection
Stock Prediction	MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction
stop-and-go production line	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
Strokeformer	Strokeformer: A transformer-based neural painting network with Effective Residual Squeeze Excitation
structure–texture prior	F-DCRNN: Frequency-Decoupled Controllable Recurrent Networks for Underwater Compressed Video Super-Resolution
Student’s t-distribution mixture mode	A Probability-Driven Level Set Robust Segmentation Algorithm Based on Local Markov Random Field with Student’s t-Distribution Mixture Mode
Syndrome prediction	CGA-MLF : A Cross Graph Attention-driven Multi-Label Learning Framework
Syndrome-oriented mask	CGA-MLF : A Cross Graph Attention-driven Multi-Label Learning Framework
Synthetic Data	An Efficient Lightweight Feature-Enhanced Network for Accurate 6D Object Pose Estimation with Reduced Computational Complexity
Synthetic Evaluation	Evaluating GPT-5.5 for Proofreading Japanese Speech Transcripts Containing Pseudo-Tics
Systematic review	Brain-Computer Interfaces for Smart Home Control: A Systematic Review
T
Tail latency	Completion-Aware Group Calibration of Diffusion-Serving Latency under Production Drift
Target detection	YOLO-Based Object Detection: Improvements and Performance Analysis
task interaction	Design and Implementation of an Autonomous Navigation and Task Interaction System for Quadruped Robot-Based Sample Transportation in Factory Environments
Temporal	MGSM-CTA: A Market-Guided Shared Mamba with CNN-based Temporal Attention for Financial Time Series Prediction
temporal dispersion	Interpretable Temporal-Variation Acoustic Features for Sleep Bruxism Detection
temporal fusion	F-DCRNN: Frequency-Decoupled Controllable Recurrent Networks for Underwater Compressed Video Super-Resolution
temporal reliability aggregation	Temporal Reliability-Aware Dynamic Aggregation for Federated Semi-Supervised Lung Nodule CT Image Segmentation
TGAM	Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
Time Delay Compensation	A Review of Digital Twin Augmented Teleoperation Systems for Transparency
time-frequency mixing	TCDMixer: A Lightweight Time-Frequency Mixing Model for Weather Time Series Forecasting
Token Merging	VGGT-based Fast Map Generation Framework for Indoor Mobile Robots
Topological Modeling	Multi-Objective Topological Optimization of Mine Back-fill Pipeline Networks in Complex Terrains
Tourette Syndrome	Evaluating GPT-5.5 for Proofreading Japanese Speech Transcripts Containing Pseudo-Tics
Track Car	Design and Implementation of a Children's Concentration Training System Based on Brain-Computer Interface
track slip	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
tracking-by-detection	A Lightweight Pure-Momentum and DIoU Tracking Framework for Egg Counting on Stop-and-Go Production Lines
Traditional Chinese Medicine terminology	Entity-Enhanced Neural Machine Translation for Traditional Chinese Medicine Terminology Based on NLLB and LoRA
Traffic Congestion Evaluation	Object Detection and Congestion Evaluation Using YOLO and Attention in Traffic Scenes
Trajectory generation	Diffusion Models for Robot Manipulation: A Review of Policy Learning, Geometric Reasoning, and Scalable
trajectory tracking	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
Transformer	Multimodal Framework for Automotive News Classification with Multi-scale Semantic Equilibrium Learning Transformer DAT-SeqFakeFormer: Dual-Attention Sequential Deepfake Detection with Multi-Scale Information Strokeformer: A transformer-based neural painting network with Effective Residual Squeeze Excitation
Transformer-Mamba Hybrid	KTMPose: A Keypoint-Prior Guided Transformer-Mamba Network for Human Pose Estimation
trend-seasonal decomposition	TCDMixer: A Lightweight Time-Frequency Mixing Model for Weather Time Series Forecasting
Triboelectric nanogenerator	A High Power-Density EMG–TENG Hybrid Generator for Ocean Current Energy Harvesting
Tunnel defect detection	Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
Turbidity	Deep Learning-Based Quantitative Analysis of Cobalt-Rich Crusts Using Underwater LIBS Turbidity-Robust Underwater LIBS Quantification of Cobalt-Rich Crusts
U
U-Net	Sparse3D-U: Sparse Convolution-Based U-Net for Enhanced 3D Point Cloud Segmentation
UAV Inspection	Object Detection in Power Systems: A Comprehensive Survey
UE5	Enhanced Dynamic Window Approach for Path Planning of MASS in Complex Wave Environments
Underwater image enhancement	Multi-Condition Underwater Image Enhancement Based on Rectified Flow
Underwater image restoration	Underwater Image Restoration with Polarization Cameras: Acquisition, Physical Inversion, and Physics-Guided Learning
Underwater object detection	DPF-YOLO: Detail-Preserving Feature Fusion and Robust Localization for Underwater Small-Object Detection CASA-YOLO: A High-Performance Underwater Object Detection Model Based on Sonar Images
Underwater robot	A Review of Underwater Soft Gripping Hands: From Terrestrial Soft Hands to Underwater Intelligent Grasping
underwater robotics	Curvature- and Propulsion-Loss-Aware Adaptive Fuzzy Trajectory Tracking Control for a Deep-Sea Tracked Mining Vehicle
Underwater Video	Secure Ultra-Low-Bitrate Underwater Video Compression with Perception-Guided Latent Protection
Underwater video compression	ULTRA-VID: Real-Time Long-Range Video Streaming for Underwater Robots
underwater video super-resolution	F-DCRNN: Frequency-Decoupled Controllable Recurrent Networks for Underwater Compressed Video Super-Resolution
Unsupervised anomaly detection	A Survey on Granular-Ball Computing-Driven Unsupervised Anomaly Detection
upper-computer systems	Modular Upper-Computer Design and Isaac Sim Digital Twin for Centralized FIRA Soccer Robots
V
VGGT	VGGT-based Fast Map Generation Framework for Indoor Mobile Robots
Video Super-Resolution	Motion-Aware Adaptive Propagation Method for Video Super-Resolution Frame Difficulty-driven Bidirectional Adaptive Network for Video Super-Resolution DPVSR: Detail-Preserved Lightweight Video Super-Resolution via Dual-Path Propagation and Gated Reconstruction
vision-force fusion	Force-Bounded Vision-Force Coupled Docking of a 2.5 t Radio Telescope Feed Receiver in Confined Space
Visual Access Control}	A Controllable Layered Arnold-DNA Encryption Scheme for 3D Mesh Models
Visual parsing	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents
visual representation learning	SGI-Mamba: Semantic Group Interaction Mamba for Image Classification
Visual SLAM	VGGT-based Fast Map Generation Framework for Indoor Mobile Robots
Visuomotor policy	Diffusion Models for Robot Manipulation: A Review of Policy Learning, Geometric Reasoning, and Scalable
W
Wasserstein Distance	Wasserstein-Distance Guided Consistency Training for Image Generation via Efficient One-Step Diffusion
Wave Energy	A Wave Energy Harvester for Self-Powered Smart City IoT
Wave Energy Harvester	A Wave Energy Harvester for Self-Powered Smart City IoT
weather forecasting	TCDMixer: A Lightweight Time-Frequency Mixing Model for Weather Time Series Forecasting
Whole-Slide Images	SS-MEF: A State Space-based Multimodule Enhancement Fusion Framework for Lung Adenocarcinoma Survival Prediction
WPT	AttnLight: A Real-Time Single-Channel EEG-Based Brain-Machine Interface System for Adaptive Lightness Control of the Desk Lamp
X
X-ray security inspection	G2D-Net: Regime-Aware Cross-View Privileged Disentanglement for Long-Tailed Single-View X-ray Detection
Y
YOLO	Object Detection and Congestion Evaluation Using YOLO and Attention in Traffic Scenes Scale-Specialized Directional-Channel Attention for Tunnel Defect Detection
YOLOv11	Hierarchical Seal Detection and Recognition Framework for Complex Government Documents Deepfake Video Detection Based on Physical Prior Guidance and Dual-scale Temporal Modeling
YOLOv11-OBB	Remote Sensing Ship Target Detection Based on Improved YOLOv11-OBB
Z
Zero Shot	GRPose: Geometric Scoring and Recurrent Pose Refinement for Zero-Shot 6D Pose Estimation
zero-shot classification	Domain-Informed Prompting with GPT-4o mini for Speech-Lock Classification in Caregiving Conversations
Zero-shot image recognition	SM-GHMRL: A Semantic-Matching Gated Hierarchical Multimodal Representation Learning Framework

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