Recent Challenges in Intelligent Information and Database Systems (eBook, PDF)

17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I
Redaktion: Nguyen, Ngoc Thanh; Wojtkiewicz, Krystian; Hong, Tzung-Pei; Fujita, Hamido; Manolopoulos, Yannis; Gaol, Ford Lumban; Matsuo, Tokuro

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 350
• Erscheinungstermin: 25. April 2025
• Englisch
• ISBN-13: 9789819658817
• Artikelnr.: 73970820

Inhaltsangabe

.- 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.