Advanced Hybrid Information Processing

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

Inhalt

.- A Graph Neural Network-based Deformation Monitoring Method for Supertall Buildings.

.- A Graph Neural Network-based Method for Detailed Feature Enhancement of UAV Aerial Images.

.- Anomaly Detection for Massive Data of Network Transmission Time Series Based on Graph Neural Network.

.- A Study on Adaptive Push of Agricultural Products Marketing Information Based on Combinatorial Neural Network.

.- A Deep Support Vector Machine-based Outlier Detection Method for Ocean Buoy Data.

.- A Deep Learning-based Method for Forecasting Retail Prices of Internationally Traded Goods.

.- Enterprise Information Fusion and Security Audit Method Based on DBSCAN Clustering.

.- An Isolated Random Forest Based Intrusion Detection Method for Wireless Network Nodes.

.- A Deep Learning Based Method for Detecting Outliers in a Database of Ideological and Political Education System.

.- A Balanced Scheduling Technique for Distributed Inference Resources Based on Edge Computing.

.- A Study on Optimal Motion Path Planning for Rural Logistics and Transportation Vehicles Based on Deep Reinforcement Learning.

.- A Deep Reinforcement Learning-Based Method for Economic Dispatch of Integrated Energy System.

.- A Financial Audit Data Integrity Verification Method Based on Differential Evolution Algorithm.

.- A Deep Reinforcement Learning-based Approach for Intelligent Recommendation of Digital Museums.

.- An Automatic English Online Translation Error Recognition Method Based on Reinforcement Learning and Evolutionary Computation.

.- A Personalized Resource Recommendation Method for Laboratory-Integrated Civics Teaching Based on Multi-source Heterogeneous Information Fusion.

.- A Deep Integrated Learning Mining Algorithm for Digital Trade Talent Development Model Labeled Demand Information.

.- A Multi-Objective Optimization Model for Joint Construction Parameters of Prefabricated Buildings Based on Improved Bee Colony Algorithm.

.- A Hierarchical Recurrent Genetic Algorithm-based Approach for Emotion Recognition of Physiological Signals in Badminton Players.

.- Classification of Difficult Movements in Competitive Aerobics Based on Quantum Genetic Algorithm.

.- Research on Multiple Backup Method for Enterprise Financial Data Based on Active Learning Algorithm.

.- A Chaotic Mapping-based Approach for Privacy-encrypted Storage of Information in Storage and Transportation Logistics Databases.

.- Native 3D Diffusion Networks Architectures, Optimization, and Emerging Trends in Generative Modelling.

.- Applications and Intelligent Systems.

.- The Design of an Online Teaching System for Independent Learning Network under Intelligent Cloud Architecture.

.- Design of Visual New Media Generation Art Interaction System Based on Processing and GPU.

.- A Real-time Control Method for Linked CNC Systems Based on Human-machine Hybrid Augmented Intelligence.

.- Design of Network Training Teaching Platform Based on Feedforward Neural Network and Virtual Simulation.

.- Research on the Effectiveness Assessment Method of E-commerce-enabled Rural Revitalization Based on Convolutional Neural Network.

.- The Digitalization Construction Path of Enterprise Financial Management Based on Cloud Computing Technology.

.- An Intelligent Fault Prediction Method for Distribution Grid Transformers Based on Digital Twins and Deep Learning.