
Advanced Hybrid Information Processing
Description
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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
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Content
.- Signal Processing and Enhancement.
.- Vital Signs Monitoring for Non-tight-fitting Garments and its Signal Processing.
.- A Method for Fast Continuous Acquisition and Denoising Reconstruction of Terahertz Spectral Signals.
.- A Filter-machine Learning-based Denoising Method for Terahertz Time-domain Spectral Signals.
.- Research on Denoising Method of Reflective Terahertz Spectral Signal Based on Improved EMD.
.- An Algorithm for Spectral Reconstruction of Radar Receiver Signals Oriented to Non-integer-cycle Sampling.
.- Ancient Building Surface Damage Detection Method Based on Artificial Intelligence Machine Vision Technology.
.- Optimization of Urban Landscape Planning and Design Based on Three-dimensional Convolutional Neural Network Image Processing.
.- A Deep Learning-based Obstacle Detection Method for Driverless New Energy Vehicles.
.- A Method for Recognizing Foul Play in Sports Based on Image Feature Mining.
.- OCR Recognition of Text Images with Unbalanced Illumination Based on Depth Learning.
.- Design of a Depth-separable Convolution-based System for Detecting Anomalous Weak Signals in Video Capture Terminals for the Internet of Things.
.- Reinforcement Learning Based Intrusion Detection Method for Power IoT.
.- A Multi-sensor Based Method for Anti-jamming Transmission of Ocean Buoy Data.
.- A Deep Reinforcement Learning-based Feature Extraction Method for Visually Communicated Images.
.- Research on Intelligent Location of Abnormal Signals in Wireless Networks Based on RSSI Verification.
.- Information Fusion and Integration.
.- CAMF: A Cross-modal Attention and Multi-stage Fusion Network for Multi-modal Vessel Identification.
.- Joint Visual and Text Prompting for Zero-Shot Object Oriented Perception with Multimodal Large Language Models.
.- Research on Image Detail Enhancement of Product Packaging Design Based on Mixed Information Fusion.
.- A Health Remote Monitoring System for the Elderly Living Alone Based on Feature Fusion of Physiological Parameters.
.- An Internet of Things (IoT) Monitoring Method for Campus Behavior Based on Situational Awareness Data Fusion.
.- A Cross-library Retrieval Method Based on the Fusion of Multi-source Information for Curriculum-based Civics and Politics Repositories.
.- Designing an Intangible Cultural Heritage Information Recommendation System Based on Multi-source Information Fusion.
.- A Keyword Extraction Method for Social Media Topics Based on Multi-source Information Fusion.
.- Research on the Method of Integration of Multimodal Pedagogical Data in the Course "Economic Law" in the Specialization of Finance and Commerce.
.- A Method for Optimizing the Layout of a Virtual Simulation Laboratory Based on Multi-input Feature Fusion.
.- A Multi-feature Fusion Based Method for Extracting Data for Virtual Simulation Experimental Teaching and Learning.
.- A Knowledge Graph-based Approach for Deep Fusion of Multi-source Heterogeneous Big Data in Chinese Medicine.
.- A Study of a Kalman Filter-based Data Fusion Method for Blended English Language Teaching and Learning.
.- Accurate Recommendation Method of Oral English Online Learning Resources Based on Multi-source Information Fusion.
.- A Multi-source Personalized News Page Information Fusion Approach Based on a Data-driven Strategy.
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