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.

. - Data Mining, Processing and Integration.

. - Physics-informed Discovery of State Variables in Second-Order and
Hamiltonian Systems.

. - A Hybrid Discovery Framework for USV Voyage Route Generation
Using AIS Data.

. - Proactive approach to personnel assignment in University Course
Timetabling Problem.

. - Improving Traffic Sign Detection Using Synthetic Data and Automatic
Labeling.

. - Unraveling Research Patterns in Quantum Computing Through Topic
Modeling and Network Analysis.

. - Mining Erasable Patterns Using the Bitmap Method in Quantitative
Component Databases.

. - Privacy Preserving Based on SHA Encryption and Cluster Analysis in
Federated Frequent Itemset Mining.

. - An Optimization Algorithm for Finding Extractive Summary from
Multiple Source Documents Based on Association and Clustering.

. - Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and
Transformer Model Evaluation.

. - On Translating Association-Oriented Structures of Unified Process
Metamodel into OWL.

. - A Method for Evaluating Expressive Power and Semantic Capacity of
Metamodel in Conceptual Data Modeling.

. - Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven
Study.

. - Low Computational Aggregation Method for Time Series Forecasting.

. - Information graphs in process analysis.

. - Deep Learning Methods and Applications.

. - ESM-VAE: Bias Reduction in EEG Models via Synthetic Data
Generation with Variational Autoencoders.

. - Chromatic Aberration Detection Using Fully Convolutional Networks.

. - Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent
Deep Learning Models Predicting Off-target Activities for K562 and
Hek293 Cell Lines.

. - CerMixer: An Efficient Model for Cervical Cancer Classification Based
on Patching and Multi-Scale Depthwise Convolutional Fusion.

. - Generative Models Applications.

. - Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in
Large Language Models.

. - Automatic Creation of Multilingual Knowledge Graph with Large
Language Models.

. - Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems.

. - An empirical review of the effectiveness of different language processing
approaches in Software Code Vulnerability Detection.

. - Intelligent Information Systems and Problem-Solving Algorithms.

. - Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity
Domains.

. - Research on the Application of Large Language Models (LLM) for
Improving Recruitment Efficiency and Accuracy.

. - A Trading Strategy Portfolio Optimization Approach Based on Fuzzy
Mean-semivariance Model Using Memetic Algorithm.

. - Brain-Computer Interface Framework for Real-Time Application
Adaptation.

. - Jaccard Distance under Incompleteness.