Machine Learning and Soft Computing (eBook, PDF)

9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, Revised Selected Papers, Part II
Redaktion: Huang, Letian

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 307
• Erscheinungstermin: 26. Mai 2025
• Englisch
• ISBN-13: 9789819664030
• Artikelnr.: 74327857

Inhaltsangabe

.- 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.