Advanced Hybrid Information Processing by Zhang, Xianchao; Zhou, Joey Tianyi; Sun, Hong;

Long description:

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

Table of Contents:

.- 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.