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Multimedia Technology and Enhanced Learning: 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part II 1st ed. 2024 [Mīkstie vāki]

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Multimedia Technology and Enhanced Learning: 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part II 1st ed. 2024Palielināt
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Keywords:
The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.

The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems.
Computer Vision and Image Processing:  Nodes deployment optimization for
indoor localization using FIR filter.-  Security Management Method of Power
Communication Access Network Based on EPON Technology.- Image Recognition
Technology of UAV Tracking Navigation Path Based on ResNet.- Intelligent
Extraction of Color Features in Architectural Space Based on Machine
Vision.-  Stability Tracking Detection of Moving Objects in Video Images
Based on Computer Vision Technology.- Virtual Display Method of Garment
Design Details Based on Computer Vision.- Reliability Testing Model of Micro
Grid Soc Droop Control Based on Convolutional Neural Network.- Pedestrian
Detection in Surveillance Video Based on Time Series Model.- Computer Vision
Based Method for Identifying Grouting Defects of Prefabricated Building
Sleeves.- Stability Detection of Building Bearing Structure Based onBim and
Computer Vision.-  Intelligent Integration of Diversified
Retirement Information Based on Feature Weighting.- Recognition Method of
Abnormal Behavior in Electric Power Violation Monitoring Video Based on
Computer Vision.- Damage Identification Method of Building Structure Based on
Computer Vision.- Automatic Focus Fusion Method of Concrete Crack Image Based
on Deep Learning.- Teaching Effect Evaluation Method of College Music Course
Based on Deep Learning.- Recognition of Running Gait of Track and Field
Athletes Based on Convolutional Neural Network.- Research on Action
Recognition Method of Traditional National Physical Education Based on Deep
Convolution Neural Network.- Personalized Recommendation Method for the
Video Teaching Resources of Folk Sports Shehuo Based on
Mobile Learning.- Intelligent Monitoring System of Electronic Equipment Based
on Wireless Sensor.- Construction Site Inspection System Based on
Panoramic Image Cloud Processing Technology.