Intelligent Information and Database Systems

17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I

Häftad, Engelska, 2025

Av Ngoc Thanh Nguyen, Tokuro Matsuo, Ford Lumban Gaol, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Krystian Wojtkiewicz

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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.

Produktinformation

Utgivningsdatum2025-04-25
Mått155 x 235 x 23 mm
Vikt633 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor385
FörlagSpringer Nature Switzerland AG
ISBN9789819660070

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.- Data Mining, Processing and Integration..- Physics-informed Discovery of State Variables in Second-Order andHamiltonian Systems..- A Hybrid Discovery Framework for USV Voyage Route GenerationUsing AIS Data..- Proactive approach to personnel assignment in University CourseTimetabling Problem..- Improving Traffic Sign Detection Using Synthetic Data and AutomaticLabeling..- Unraveling Research Patterns in Quantum Computing Through TopicModeling and Network Analysis..- Mining Erasable Patterns Using the Bitmap Method in QuantitativeComponent Databases..- Privacy Preserving Based on SHA Encryption and Cluster Analysis inFederated Frequent Itemset Mining..- An Optimization Algorithm for Finding Extractive Summary fromMultiple Source Documents Based on Association and Clustering..- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini andTransformer Model Evaluation..- On Translating Association-Oriented Structures of Unified ProcessMetamodel into OWL..- A Method for Evaluating Expressive Power and Semantic Capacity ofMetamodel in Conceptual Data Modeling..- Optimizing Task Estimation Accuracy in Agile Projects: A Data-DrivenStudy..- 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 DataGeneration with Variational Autoencoders..- Chromatic Aberration Detection Using Fully Convolutional Networks..- Contextual Statistical Evaluation of Selected CRISPR-Cas9 RecurrentDeep Learning Models Predicting Off-target Activities for K562 andHek293 Cell Lines..- CerMixer: An Efficient Model for Cervical Cancer Classification Basedon Patching and Multi-Scale Depthwise Convolutional Fusion..- Generative Models Applications..- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes inLarge Language Models..- Automatic Creation of Multilingual Knowledge Graph with LargeLanguage Models..- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems..- An empirical review of the effectiveness of different language processingapproaches in Software Code Vulnerability Detection..- Intelligent Information Systems and Problem-Solving Algorithms..- Analysis of Artificial Intelligence Solutions in Offensive CybersecurityDomains..- Research on the Application of Large Language Models (LLM) forImproving Recruitment Efficiency and Accuracy..- A Trading Strategy Portfolio Optimization Approach Based on FuzzyMean-semivariance Model Using Memetic Algorithm..- Brain-Computer Interface Framework for Real-Time ApplicationAdaptation..- Jaccard Distance under Incompleteness.