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

Data-Driven Energy Optimization for Campus Streetlights Using Multimodal Sensing

Yi Tao Cheng, Narn-Yih Lee, Cheng-Yen Lee, Didik Sudyana, Felix Wu, Yung-Chien Chou and Chao-Chun Chen

Fully Automated Colorectal Cancer Segmentation on Computed Tomography Using Deep Learning Strategy

Hao-Shan Wang, Yi-Kai Kao, Chi-Yuan Wang and Shih-Yen Hsu

Haar Decomposition with Cross Attention for Time Series Anomaly Detection

Duy Nguyen, Quan Khuu and Ngu Huynh

Multilingual Depression Detection Using Transformer and Hybrid Deep Learning Models

Surajit Dutta, Tulika Chutia, Nomi Baruah, Himangshu Parasar and Hien D. Nguyen

TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging

Nam Nguyen, Hung Le, Tung Le and Tien Huy Nguyen

A Use-Case Driven Decision Model for CRIS Users: Integrating Data Fabric, Data Mesh, Knowledge Graphs, and AI for Informed Research Management

Otmane Azeroual

Improving Cross-Dataset Generalization in Facial Emotion Recognition Through EmoSet: a Balanced and Diverse Dataset

Jihed Jabnoun, Mohsen Maraoui and Mounir Zrigui

Adaptive Regularization in the Expectation--Maximization Algorithm for Gaussian Mixture Models

Paweł Lorek and Paulina Podgórska

An Architecture for QR Code Detection and Recognition in Industrial Environments Using Augmented Reality Devices

Krystian Wojtkiewicz and Jakub Mikłasz

Insight-Driven Information-Theoretic Feature Analysis of Indonesian TLD Phishing URLs

Indra Aulia, Ford Lumban Gaol and Tokuro Matsuo

An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models

Riya Naik, Ashwin Srinivasan, Swati Agarwal and Estrid He

How Smart Is Smart Enough? Benchmarking LLMs with Embedding-Based Similarity in Python Code Generation

Dominik Palla, Blanka Klímová, Marcel Pikhart and Eva Švejdarová

Out-of-Time Analysis of the Stability of Machine Learning Techniques for Churn Management in Non-Contractual Businesses

Adriana dos Reis and Roseli Romero

Modern C++ in Resource-Constrained Edge Systems: an ESP32 Evaluation Bridging Efficiency and Practical AI Applications

Karol Pisarski, Dariusz Marek, Jakub Szygula and Adam Domanski

A Novel Approach to Arrhythmia Classification Using Explanations and Domain Expertise

Tuan Nguyen Bao, Phuc Ho and Bac Le

Architecting AI for Compliance: Integrating EU AI Act Principles with MITRE ATLAS Threat Models

Tomas Valenta, Jiri Novotny and Josef Horalek

From High-Accuracy to Resource-Efficient Cloud–Edge Deployment: Compression-Aware Pruning of Deep Neural Networks for EEG Epilepsy Prediction

Salem Trabelsi, Salah Gontara, Khaled Ben Khalifa and Abdellatif Mtibaa

Deepfake for the Good: Generating Avatars Through Face-Swapping with Implicit Deepfake Generation

Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Sławomir Tadeja, Przemysław Spurek and Jacek Tabor

AutoViVQA: a Large-Scale, Automatically Constructed Dataset for Vietnamese Visual Question Answering

Tuong Nguyen Anh, Duc Phan Ba, Quoc Nguyen Trung, Lan Dang Duy, Thinh Nguyen Quoc, Thinh Tran Dac and Tung Le

Private and Secure Decentralized Federated Learning for IoT Smart Healthcare via Blockchain

Ho Phuoc Hien Nguyen and Thu Le

VSLIM: A Vietnamese Explicit Slot-Intent Mapping for Joint Multi-Intent Detection and Slot Filling

Phong Chung, Kha Le-Minh, Xuan-Bach Le and Tho Quan

A Variational Adversarial Game Framework for Robust Network Intrusion Detection

Swetha Krishna Sriram, Aneesh Sreevallabh Chivukula and Vijayalakshmi Anand

Hybrid Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields

Manjula Pilaka, Abhinav Kumar, Aneesh Sreevallabh Chivukula and Sai Poorna Parikshit Dashetwar

Exploring Large Language Models' Ability in Text Correction and Restoration for Vietnamese Hate Speech Detection

Hoang-Quan Tran and Thanh-Duc Chau

Transformer-Based Assamese Spelling Detection Using Fine-Tuned Transformer Models

Rituraj Phukan, Pritom Jyoti Goutom, Mandira Neog, Nomi Baruah and Tulika Chutia

GMPA: Enhancing Continual Learning with Rehearsal-Based Method via Gaussian Mixture Prototype Augmentation

Quynh-Trang Pham Thi, Xuan-Quang Trinh Viet, Hung Ho, Tri-Thanh Nguyen and Duc-Trong Le

Enhancing Scientific Title Generation via Instruction-Guided Extraction and Denoising Autoencoders

Thuan Huynh, Thien Thanh Khuu, Tung Le and Nam Van Chi

Enhancing ACCENT with Causality

Han Nguyen, Bao Khanh Nguyen Ho, Tinh Nguyen and Bac Le

Towards Dynamic Key Frames Based Temporal Segmentation for Activity Recognition

Viet Vo, Phat Mach and Tam Tran

Automated Fraud Detection in Financial Transactions: a Comparative Study of PCA, T-SNE, UMAP, Autoencoder, Factor Analysis, and Deep Learning Approaches

Amjad Alkilani and Mohammad Nusir

CBiF-Net: a Lightweight CNN–Transformer Network with Bilinear Feature Fusion for Crack Segmentation

Dang Ho, Thu Be and Viet Vo

A Robust Merging of Probabilistic Knowledge Bases via Evidential Reasoning

Van Tham Nguyen and Ngoc Thanh Nguyen

ContextGeo: a Context Engineering Framework for Multi-Agent Geospatial AI Systems

Kim-Son Nguyen, The-Vinh Nguyen, Huu-Huy Ngo and Duc-Binh Nguyen

Voting Rule-Based Framework for Multi-Label Emotion Detection

Minh Hieu Le, Cong Phuoc Phan, Thanh Tuan Nguyen and Thi Thanh Sang Nguyen
Total: 34 presentations.