Machine Learning and Soft Computing (eBook, PDF)

9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24-26, 2025, Revised Selected Papers, Part I
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: 365
• Erscheinungstermin: 23. Mai 2025
• Englisch
• ISBN-13: 9789819664009
• Artikelnr.: 74295469

Inhaltsangabe

.- Multimodal Data Analysis and Model Optimization.

.- Utilizing Demographic Data and Insurance Claims History to Develop Machine Learning for Assessing Cardiovascular Disease Risk.

.- Comprehensive Framework for Artificial Intelligence and Big Data Integration in Higher Education.

.- Data Envelopment Analysis on Response Surface Method for Efficient Parameterization of Evolutionary Algorithms in Industrial Applications.

.- Feature Niching based Differential Evolution for Feature Selection on High-Dimensional Data.

.- Evaluating the Performance of Open-Source LLMs in Local RAG Systems: A Practical Study on Low-Carbon Data Applications.

.- Data Selection for Close-Domain Data in Medical Continual Pretraining: A Case Study on Data Selection via Importance Resampling (DSIR).

.- Improving Domain-Specific Data Question Answering with Deep and Cross-Lingual Transfer Learning.

.- Leveraging Co-occurrence Graphs and NLP for Enhanced Job-Skill Matching.

.- Risk Estimation with Active Labeling.

.- Basic Theories of Machine Learning and Emerging Application Technologies.

.- Using Machine Learning Techniques to Discriminate Good and Poor Sleepers in Virtual Reality Environment.

.- San Jose Urban Forest - An Open-Source Tree Canopy Surveying and Assessment Tool.

.- Towards A Machine Learning-Based Approach To Predicting Stock Price Volatility and Its Associated Risk in Egypt.

.- Lift And Shift Of Model Code Using Machine Learning Microservices With Generative AI Mapping Layer In Enterprise SaaS Applications.

.- Machine Learning-Driven Extended Creativity for Reshaping Traditional Artistic Pieces.

.- Towards AI/ML-powered Hybrid Project Management Strategy for the Healthcare Sector.

.- Enhancing Textual Deception Detection: A Fused Handcrafted Feature Approach with Machine Learning Models.

.- Machine Learning Models for Validating the Self-Declaration Conformity Assessment: Risk Evaluation.

.- Enterprise Credit Rating Framework Based on RCGNN.

.- Intelligent Recommendation System Design and Privacy Security.

.- Emotionally Unbiased Reinforcement Learning for Equilibrium-Seeking in Conflict-Driven Multi-Agent Systems.

.- Diversified Conversational Recommendation System.

.- Rule Extraction with Reject Option.

.- Poisoning Attacks Against Security-Aware Federated Recommendation System.

.- Applying Artificial Intelligence in Taiwan s fin-tech: Exploring Usage Intention of Robo-advisor Service.

.- Detecting Social Bots Using Neural Networks with Social, Word Embedding, and Temporal Features.

.- Exploring Information Presentation and Sentiment Experience in Generative AI-Controlled Interfaces: A Case Study on Electric Bicycle Interaction.

.- Advanced Generative AI: A Multi-Modal Approach through conversational Chatbot and Intelligent Question Answering for Enhanced customer experience and assistance in Air Travel Domain.