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Machine learning and soft computing = 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and soft computing/ edited by Letian Huang.
Reminder of title:	9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.
remainder title:	ICMLSC 2025
other author:	Huang, Letian.
corporate name:	International Conference on Machine Learning and Soft Computing
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvii, 307 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-6403-0
ISBN:	9789819664030

Machine learning and soft computing = 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.. Part II /
Machine learning and soft computing9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.Part II /[electronic resource] :ICMLSC 2025edited by Letian Huang. - Singapore :Springer Nature Singapore :2025. - xvii, 307 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,24881865-0937 ;. - Communications in computer and information science ;2488..

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.

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.

ISBN: 9789819664030

Standard No.: 10.1007/978-981-96-6403-0doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and soft computing = 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, revised selected papers.. Part II /
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