Description
Book Synopsis.- 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.
