Recent Challenges in Intelligent Information and Database Systems by Nguyen, Ngoc Thanh; Matsuo, Tokuro; Gaol, Ford Lumban;

Hosszú leírás:

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This three-volume set CCIS 2493–2495 constitutes the refereed proceedings of the 17th Asian Conference on Recent Challenges in Intelligent Information and Database Systems, ACIIDS 2025, held in Kitakyushu, Japan, during April 23-25, 2025.

The 80 papers included in these proceedings were carefully reviewed and selected from 301 submissions. The papers are organized in the following topical sections:

Volume I: Data Analysis and Signal Processing; Development and Application of Large Language Models; Speech and Natural Language Processing.

Volume II: Artificial Intelligence in Multimedia Technologies; Image and Video Processing.

Volume III: Machine Learning and Artificial Intelligence Applications; Intelligent Information Systems and Advanced Problem-Solving Algorithms.

Tartalomjegyzék:

.- Data Analysis and Signal Processing.
.- Periodic Spatio-Temporal Colored Hotspot Detection in Azure Traffic Data.
.- Clustering Analysis and Time Series Approaches for Effective Resource Allocation and Route Planning in Managing Confirmed Cases.
.- Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization.
.- Concept Drift Scoring and Visualization.
.- Building a Data Trust: Fine(r)-Grained Attribute-Based Policy Machine.
.- Detection of Epileptic Seizures in EEG Multi-Channel Signals.
.- Testing the effectiveness of classifying physical exercise types using a combination of features calculated from generalised shapes.
.- A Comparative Analysis of Tabular Generative Models on Gene-Expression Data.
.- Satellite Data Based One-Class Classifier Models with Augmentation for Efficient Mineral Exploration.
.- Deep Learning for Rhythm Recognition in Piano Compositions.
.- Integrating Behavioral Code Metrics and Sentiment Code Review Analysis for Efficient .Defects Discovery
.- Personalization of Affective State Recognition from Physiological Signals: A Review.
.- Development and Application of Large Language Models.
.- Knowledge Graph-based Legal Query System with LLM and Retrieval Augmented Generation.
.- Simulating Human Communication Games: Transactional Analysis in LLM Agent Interactions.
.- LawMate: Leveraging Domain-Specific LLMs for the Indian Legal Ecosystem.
.- Options Pricing Platform with Neural Networks, LLMs and Reinforcement Learning.
.- Dumbing Down or Transforming The World: Architecting GenAI Solutions for Adaptive Lifelong Sustained Learning.
.- Speech and Natural Language Processing.
.- Kazakh Abstractive Summarization: Dataset, Model Evaluation, and Applications in Automated SEO Metadata Generation.
.- Developing Advanced Question-Answering Models for Legal Kazakh Texts: A Comparative Study of Modern Approaches.
.- Collecting, Processing and Evaluating the Performance of Kazakh Automatic Speech Recognition.
.- Study of Kyrgyz-Kazakh Neural Machine Translation.
.- RE-VC: Robust zero-shot voice conversion model for realistic environments.
.- Enriching information for speech emotion feature using polynomial chirplet transform and density-based clustering algorithm.
.- On the Responsible Use of Automation in Systematic Reviews.
.- Disease Diagnosis through Patient-Reported Symptoms Narratives using Multinomial Naive Bayes.
.- E2v-PhoBERT: A Fine-tuned PhoBERT Model with Enhanced Accuracy for High-Performance Vietnamese Sentiment Analysis.