Intelligent Information and Database Systems

TRAMA

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.

SOMMARIO

.- 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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819660070
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XXXIV, 385 p. 125 illus., 103 illus. in color.
• Pagine Arabe: 385
• Pagine Romane: xxxiv