Advanced Hybrid Information Processing
Springer International Publishing (Verlag)
978-3-032-00299-0 (ISBN)
This 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
.- 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.
| Erscheinungsdatum | 24.07.2025 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XIII, 442 p. 138 illus., 53 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | computer vision • data integration • Data Mining • Deep learning • Human-Computer Interaction (HCI) • Information Fusion • Internet of Things (IoT) • machine learning • Neural networks • optimization algorithms • Reinforcement Learning • Security and Privacy • Signal Processing • wireless communication |
| ISBN-10 | 3-032-00299-0 / 3032002990 |
| ISBN-13 | 978-3-032-00299-0 / 9783032002990 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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