Intelligent Information and Database Systems

This two-volume proceedings, LNAI 15683 and LNAI 15684, constitutes the proceedings of the 17th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.

The 56 full papers and presented in these two volumes were carefully reviewed and selected from 301 submissions.

The papers are organized in the following topical sections:

Part I: Data Mining, Processing and Integration; Deep Learning Methods and Applications; Generative Models Applications; Intelligent Information Systems and Problem-Solving Algorithms.

Part II: Games and Decision Theories; Image Processing and Computer Vision; Intelligent Techniques in Optimization; Machine Learning Techniques and Applications.

Inhalt

.- Games and Decision Theories.

.- Deterministic and Nondeterministic Decision Trees for Recognition of
All Realizable Decision Rules.

.- Billiards-based Generation of Multi-task, Dense Subitizing Detection
Diagrams.

.- GAMER-Pong: Game Adjustment by Monitoring Emotional Response.

.- Image Processing and Computer Vision.

.- Machine Learning Algorithms for Hand sEMG-recorded Movements.

.- Boosting Face Super-Resolution and Identification with Knowledge
Distillation and Frequency Domain Loss.

Improving Efficiency Image Captioning by using Attention Mechanism
combined with Knowledge Graph.

.- An approach of fuzzy-enhanced multi-viewed image embedding fusion for spinal disease detection.

.- Boosting Lightweight Multi-Branch Network by Integrating Segment,
Skeleton, and Attribute Information.

.- Continuous Recognition of Mouth Patterns in Japanese Sign Language
for Visual Communication.

.- Towards an UAV Visual Navigation System Based on Map Processing
and Spatial Matching Techniques: a Literature Review.

.- Image enhancement with Boosted Schr¨odinger Bridge.

.- Intelligent Techniques in Optimization.

.- Kernel-Level Energy-Efficient Neural Architecture Search for Tabular
Dataset.

.- Estimation of Distribution Algorithms with Overlapped Populations.

.- Energy-Efficient Edge Query Processing for Smart City using Query
Prediction.

.- Influence Maximization with Fairness Cost on Groups in Online Social
Networks.

.- TMMP: Efficient Continual Learning via Mixture of LoRA Experts
and Top Maximum Magnitude Parameter Fusion.

.- ADMEdge: Accelerating Edge Computing through Co-Design for
Enhanced Data Mobility.

.- Machine Learning Techniques and Applications.

.- The recursive scheme of clustering.

.- TOPSIS-inspired Socio-cognitive Mutation Operator for Metaheuristics.

.- Feature-Based Drift Detection in Non-Stationary Data Streams Using
Multiple Classifiers: A Comprehensive Analysis.

.- A Feature Transformation Technique for Improving Ensemble Learning
Systems.

.- Explainable Artificial Intelligence to Improve Interpretability in
Predictive Mutation Testing.

.- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing.

.- Efficient Vietnamese Name Detection using Highly Discriminative
N-Grams.

.- Evaluation of the effectiveness of ranking methods in detecting feature
drift in artificial and real data.

.- Using Artificial Neural Networks for Automated Lithologic Mapping
and Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas.

.- Enhancing Accuracy and Stability in XAI for Context-specific Applications.

.- Integration of Dynamic Window Sizing with Neural Network
Architectures for Real-Time Cryptocurrency Predictions.

.- Domain-oriented GCN method for Sentiment Analysis.