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

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  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 235x155 mm, 125 Illustrations, color; 16 Illustrations, black and white; XXXIII, 423 p. 141 illus., 125 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15684
  • Ilmumisaeg: 24-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819660041
  • ISBN-13: 9789819660049
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Intelligent Information and Database Systems: 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part IISuurem pilt
  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 235x155 mm, 125 Illustrations, color; 16 Illustrations, black and white; XXXIII, 423 p. 141 illus., 125 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15684
  • Ilmumisaeg: 24-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819660041
  • ISBN-13: 9789819660049
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819660049.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.
.- Games and Decision Theories.


.- Deterministic and Nondeterministic Decision Trees for Recognition of
All Realizable Decision Rules.


.- Billiards-based Generation of Multi-task, Dense Subitizing Detection
Diagrams.


.- 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 Knowledge
Distillation and Frequency Domain Loss.


Improving Efficiency Image Captioning by using Attention Mechanism
combined 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 Language
for Visual Communication.


.- Towards an UAV Visual Navigation System Based on Map Processing
and 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 Tabular
Dataset.


.- Estimation of Distribution Algorithms with Overlapped Populations.


.- Energy-Efficient Edge Query Processing for Smart City using Query
Prediction.


.- Influence Maximization with Fairness Cost on Groups in Online Social
Networks.


.- TMMP: Efficient Continual Learning via Mixture of LoRA Experts
and Top Maximum Magnitude Parameter Fusion.


.- ADMEdge: Accelerating Edge Computing through Co-Design for
Enhanced 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 Using
Multiple Classifiers: A Comprehensive Analysis.


.- A Feature Transformation Technique for Improving Ensemble Learning
Systems.


.- Explainable Artificial Intelligence to Improve Interpretability in
Predictive Mutation Testing.


.- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing.


.- Efficient Vietnamese Name Detection using Highly Discriminative
N-Grams.


.- Evaluation of the effectiveness of ranking methods in detecting feature
drift in artificial and real data.


.- Using Artificial Neural Networks for Automated Lithologic Mapping
and 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 Network
Architectures for Real-Time Cryptocurrency Predictions.


.- Domain-oriented GCN method for Sentiment Analysis.