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

.- Games and Decision Theories. .- Deterministic and Nondeterministic Decision Trees for Recognition ofAll Realizable Decision Rules. .- Billiards-based Generation of Multi-task, Dense Subitizing DetectionDiagrams. .- GAMER-Pong: Game Adjustment by Monitoring Emotional Response. .- Image Processing and Computer Vision. .- Machine Learning Algorithms for Hand sEMG-recorded Movements. .- Boosting Face Super-Resolution and Identification with KnowledgeDistillation and Frequency Domain Loss. Improving Efficiency Image Captioning by using Attention Mechanismcombined with Knowledge Graph. .- An approach of fuzzy-enhanced multi-viewed image embedding fusion for spinal disease detection. .- Boosting Lightweight Multi-Branch Network by Integrating Segment,Skeleton, and Attribute Information. .- Continuous Recognition of Mouth Patterns in Japanese Sign Languagefor Visual Communication. .- Towards an UAV Visual Navigation System Based on Map Processingand Spatial Matching Techniques: a Literature Review. .- Image enhancement with Boosted Schr¨odinger Bridge. .- Intelligent Techniques in Optimization. .- Kernel-Level Energy-Efficient Neural Architecture Search for TabularDataset. .- Estimation of Distribution Algorithms with Overlapped Populations. .- Energy-Efficient Edge Query Processing for Smart City using QueryPrediction. .- Influence Maximization with Fairness Cost on Groups in Online SocialNetworks. .- TMMP: Efficient Continual Learning via Mixture of LoRA Expertsand Top Maximum Magnitude Parameter Fusion. .- ADMEdge: Accelerating Edge Computing through Co-Design forEnhanced Data Mobility. .- Machine Learning Techniques and Applications. .- The recursive scheme of clustering. .- TOPSIS-inspired Socio-cognitive Mutation Operator for Metaheuristics. .- Feature-Based Drift Detection in Non-Stationary Data Streams UsingMultiple Classifiers: A Comprehensive Analysis. .- A Feature Transformation Technique for Improving Ensemble LearningSystems. .- Explainable Artificial Intelligence to Improve Interpretability inPredictive Mutation Testing. .- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing. .- Efficient Vietnamese Name Detection using Highly DiscriminativeN-Grams. .- Evaluation of the effectiveness of ranking methods in detecting featuredrift in artificial and real data. .- Using Artificial Neural Networks for Automated Lithologic Mappingand Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas. .- Enhancing Accuracy and Stability in XAI for Context-specific Applications. .- Integration of Dynamic Window Sizing with Neural NetworkArchitectures for Real-Time Cryptocurrency Predictions. .- Domain-oriented GCN method for Sentiment Analysis.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819660049
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XXXIII, 423 p. 141 illus., 125 illus. in color.
• Pagine Arabe: 423
• Pagine Romane: xxxiii