UID:
almahu_9950000757602882
Format:
XXXIV, 385 p. 125 illus., 103 illus. in color.
,
online resource.
Edition:
1st ed. 2025.
ISBN:
9789819660087
Series Statement:
Lecture Notes in Artificial Intelligence, 15683
Content:
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.
Note:
-- 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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819660070
Additional Edition:
Printed edition: ISBN 9789819660094
Language:
English
DOI:
10.1007/978-981-96-6008-7
URL:
https://doi.org/10.1007/978-981-96-6008-7
URL:
Volltext
(URL des Erstveröffentlichers)
