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  • Advanced Hybrid Information Processing: 8th International Conference, ADHIP 2024, Jiaxing, China, September 20–22, 2024, Proceedings, Part I

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

    8th International Conference, ADHIP 2024, Jiaxing, China, September 20–22, 2024, Proceedings, Part I

    Sorozatcím: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 635;

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    Hosszú leírás:

    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

    Több

    Tartalomjegyzék:

    .- 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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