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Intelligent Information and Database Systems: 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I [Pehme köide]

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  • Formaat: Paperback / softback, 385 pages, kõrgus x laius: 235x155 mm, 103 Illustrations, color; 22 Illustrations, black and white; XXXIV, 385 p. 125 illus., 103 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15683
  • Ilmumisaeg: 25-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819660076
  • ISBN-13: 9789819660070
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Intelligent Information and Database Systems: 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part ISuurem pilt
  • Formaat: Paperback / softback, 385 pages, kõrgus x laius: 235x155 mm, 103 Illustrations, color; 22 Illustrations, black and white; XXXIV, 385 p. 125 illus., 103 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15683
  • Ilmumisaeg: 25-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819660076
  • ISBN-13: 9789819660070
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819660070.html
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.