Zhang / Zhou / Sun Advanced Hybrid Information Processing

8th International Conference, ADHIP 2024, Jiaxing, China, September 20–22, 2024, Proceedings, Part IV
Erscheinungsjahr 2025
ISBN: 978-3-032-00306-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 373 Seiten

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Xianchao

Zhou, Joey Tianyi

Sun, Hong

Inhaltsverzeichnis

.- A Method for Monitoring the Operational Status of Distribution Network Equipment by Integrating Digital Twin Technology and Association Rules.

.- Real-time Analysis of an Embedded CNC System Based on Information Fusion in the Internet of Things.

.- A Multi-Dimensional Early Warning Method for Digital E-commerce Supply Chain Risk Based on IoT Information Fusion.

.- Cloud Monitoring Technology of Fish Pond Water Quality Based on Internet of Things Multi-source Data Collection.

.-  A Transient Response Control Method for Hybrid Wind and Solar Power Microgrids Based on Composite Information Fusion.

.- Data Intrusion Detection Method for Embedded Components of Power Terminal Based on Machine Learning.

.- The Intelligent Monitoring System of University Personnel File Falsification Data Based on Wireless Network.

.- A Study of Resource Sharing Methods for Teaching English Reading Based on Blockchain Technology.

.- A Hybrid Teaching Resource Sharing Method for Higher Vocational English Based on Cloud Storage.

.- A Personalized and Accurate Push Method for Online Teaching Resources Based on Social Media Information Integration.

.- Evaluating the Effectiveness of the Application of an Interactive Teaching Model for English Courses in Undergraduate Colleges and Universities based on Graph Neural Networks.

.- Research on Detection Method of Differential Code Coverage in Power Grid Information System.

.- A Hybrid Swarm Intelligence Algorithm Based Approach for Information Integration of English Language Database Calls.

.- A Study on Fuzzy Comprehensive Evaluation of Blended Teaching Quality Based on Multi-source Information Fusion.

.- A Study on the Job Information Recommendation Method Based on Social Network Information Fusion.

.- A Study of Algorithms for Deep Integration of Information on Teaching Resources of Aerobics Course in the Context of Curriculum Thinking and Politics.

.- Research on the Optimal Route Recommendation Method for Regional Tourism Based on Ant Colony Algorithm in Digital Economy Era.

.- An Intelligent Recommendation Method for Cross-border E-commerce with Multiple Collaborative Information Based on Deep Learning and Graph Neural Network.

.- Research on English Teaching Data Location Based on Multi-Agent Hierarchical Reinforcement Learning.

.-  Optimal Allocation Method of College Students’ Ideological and Political Education Resources Based on PSO Algorithm.

.- A Study of Collaborative Filtering-based Recommendation Algorithms for University Aesthetic Education Teaching Resources.

.- Data Topic Mining Method of Online English Teaching in Higher Vocational Colleges Based on LDA Model.

.- A Study on the Clustering Method of Digital English Teaching Resources Based on Deep Learning.

.- An Approach to Integrating Micro-video English Teaching Resources Based on Improved Deep Learning.

.- Intelligent Optimization Method for Charging Power of Electric Vehicle Charging Station Based on VSM.