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OverviewThis four-volume set constitutes the post-conference proceedings of the 8th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2024, held in Jiaxing, China, during September 20-22, 2024. The 115 full papers included in this book were carefully reviewed and selected from 297 submissions. They focus on the following topical sections: Part I: Signal Processing and Enhancement; Information Fusion and Integration. Part II: Information Fusion and Integration; Intelligent Computing and Machine Learning. Part III: Intelligent Computing and Machine Learning; Applications and Intelligent Systems. Part IV: Applications and Intelligent Systems Full Product DetailsAuthor: Xianchao Zhang , Joey Tianyi Zhou , Hong SunPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Volume: 636 ISBN: 9783032002990ISBN 10: 3032002990 Pages: 442 Publication Date: 02 October 2025 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents.- A Multi-source Fusion Collection Method of Digital Economic Development Data for Rural Revitalization. .- A Three-dimensional Geographic Information Fusion Method Based on a Cascade Forest Model for Railroad Engineering in the Monsoon Frozen Zone. .- A Cross-border E-commerce Logistics Path Optimization Method Based on IoT Data Fusion. .- Research on the Integration of University Research Information Resources based on Multi-source Information Fusion. .- A Study on Multi-source Fusion Methodology for Rural Revitalization and Development Data under Digital Governance. .- A Three-dimensional Point Cloud Fusion Method for Ceramic Artifacts Based on Graph Neural Networks. .- Research on the Integration Method of Digitized Regional Cultural Resources Based on Fuzzy Clustering. .- A Study of Web-based Multi-source Heterogeneous Information Integration for Blended English Language Teaching and Learning. .- Research on Intelligent Fusion Method of Social Media News Information Based on Reinforcement Learning. .- An Intelligent Prediction Method for Green Development Trend of Sports Industry by Integrating Multi-Channel Data. .- Personalized Push of MOOC English Teaching Resources Based on Multi-source Information Fusion. .- A UAV Image Fusion Filtering Method Based on Fully Convolutional Twin Networks. .- Economic Information Fusion Methold of Internet of Things Based on Genetic Algorithm. .- Intelligent Computing and Machine Learning. .- Synergizing Motion and Deep Features for Enhanced Ship Type Classification Through Deep Learning Fusion on AIS Data. .- The Design of a Deep Learning-based Recommendation System for Teaching Resources in Distance Education Microcourses. .- A Study on the Optimization Method for Real-time Querying of Regionalized Project Data Based on Improved Genetic Algorithm. .- A Graph Neural Network-based Safety Assessment Method for High-Rise Building Construction. .- A Graph Neural Network-based Enhancement Method for Terahertz Spectral Imaging. .- A Graph Neural Network-based Method for Intelligent Acquisition of Linguistic Features for English Translation. .- A Deep Learning and Graph Neural Network-based Approach to Sharing Quality Teaching Resources in Civics. .- A Study of Intelligent Recognition Algorithms for Korean Characters Based on Deep Learning to Improve Long and Short-term Memory. .- An Approach to Categorizing Financial Text Information Based on Attention Mechanism and Multiple Feature Fusion. .- An Intelligent Prediction Method for Employee Turnover Propensity in Enterprises Based on Recurrent Neural Networks. .- A Personalized Recommendation Method for Ideological and Political Resources Based on Reinforcement Learning and Evolutionary Computing. .- A Deep Learning and Neural Network Based Approach to Financial Risk Identification. .- A Deep Learning and Graph Neural Network Based Approach for Financial Image Quality Enhancement. .- Bi-LSTM Based Intelligent Prediction Method for Public Opinion Dissemination Effect of Emergencies. .- A Deep Learning and Graph Neural Network Based Method for Fusion of Player Action Images for Volleyball Teaching and Training Matches. .- A Method for Automatic Generation of Decorative Patterns for Volleyball Training Uniforms Based on Generative Adversarial Networks. .- A Deep Recursive Reinforcement Learning Based Optimization Method for Campus Ecological Landscape Planning and Layout.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |