Machine learning and soft computing : 9th international conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025 : revised selected papers, part II / Letian Huang, editor

Von:

(9. : International Conference on Machine Learning and Soft Computing (9. : 2025 : Tokio) [VerfasserIn]

Mitwirkende(r):

Huang, Letian [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Communications in computer and information science ; 2488Verlag: Singapore : Springer, [2025]Copyright-Datum: © 2025Auflage: Corrected publicationBeschreibung: 1 Online-Ressource (xvii, 307 Seiten)ISBN:

9789819664030

Schlagwörter:

Genre/Form:

Konferenzschrift

Andere physische Formen: 9789819664023 | 9789819664047 | Erscheint auch als: Machine learning and soft computing ; Part 2. Druck-Ausgabe Cham : Springer, 2025. xvii, 307 SeitenDDC-Klassifikation:

004 23

DOI: DOI: 10.1007/978-981-96-6403-0Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: -- Deep Learning Models and High-performance Computing. -- Reinforcement Learning for ETF Rebalancing Under Index Composition Changes. -- Predicting Potential Soil and Groundwater Contamination Risks from Gas Stations Using a Deep Learning Technique. -- Retinex-Infused Deep Learning Network for Image Dehazing. -- Development of a Vision-Based Navigation and Landing System Based on Deep Learning and Image Segmentation Methods with Runway Information for the Landing of a Fixed-wing UAV. -- A Deep Learning Approach to Parking Space Detection: Achieving High Accuracy and Scalability with FastAPI and Alexnet. -- Forest Fire and Smoke Detection Using Image-based Deep Learning. -- Federated Learning for Privacy-Preserving: Current status and Future Directions. -- Data-driven Complex System Modeling and Intelligent Optimization Algorithms. -- Geographical Zoning for Electric Vehicle Charging Station Planning by Using Hierarchical Clustering. -- An Efficient Fine-Tuning Strategy of Large Language Models for Unit Test Code Generation via Multi-task Prompt Learning. -- Solving a Home Healthcare Routing and Scheduling Problem with Real-World Features. -- DNA Sequence Design Based on Dual-Sorting Constrained Multi-Objective Evolutionary Algorithm. -- A Novel Constrained Multi-Objective Evolutionary Algorithm for Solving VRPSPDTW. -- Credit Card Fraud Detection with Deep Multilayer Perceptrons. -- Evaluating Calibration Techniques for Reliable Predictions. -- Artificial Bee Colony Optimization for EEG Channel Selection in Motor Imagery BCI. -- Evaluating the Impact of Multi-Sensory Virtual Reality in Prostate Cancer Health Education: Enhancing Learners’ Learning Interest, Emotional Participation and Knowledge Level. -- Image Analysis and Processing Methods based on AI. -- Self-attention Network with Dynamic Perception for Crowd Counting. -- Biometric Authentication using Unnaturally Bended Palm Shape. -- A VLC Mapping-Based Lossless Data Hiding Method for JPEG Images with Stable File Size Increment. -- Investigation of Frame Differences as Motion Cues for Video Object Segmentation. -- A Hybrid Reversible Data Hiding Approach for JPEG Images Based on DCT Coefficients. -- Ablation Studies of Kras in Colon Cancer: Predictive Power and Diagnostic Accuracy. -- Hydrotherapy Hip Abduction Angle Range Classification via Hybrid Joint Vector - YOLO NAS Model (JV-YOLO NAS). -- Automated Intelligent Image-based Tomato Sorting Prototype. -- Detailed Lower Body Gait Analysis for Hydrotherapy Exercise using Modified YOLOv7 Pose. -- Analysis of Feature Subspace and Explainability of CNNs for Classification of High Resolution Remote Sensing Images.Zusammenfassung: This two part-volume CCIS constitutes the refereed proceedings of 9th International Conference, ICMLSC 2025, in Tokyo, Japan in January 24–26, 2025. The 39 full papers and 13 short papers included in this book were carefully reviewed and selected from 121 submissions. They follow the topical sections as below: Part I : Multimodal Data Analysis and Model Optimization; Basic Theories of Machine Learning and Emerging Application Technologies; and Intelligent Recommendation System Design and Privacy Security. Part II : Deep Learning Models and High-performance Computing; Data-driven Complex System Modeling and Intelligent Optimization Algorithms; and Image Analysis and Processing Methods based on AI.PPN: PPN: 1927328187Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS

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