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E-grāmata: Advanced Hybrid Information Processing: 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part IV

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This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. 

The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.
Intelligent Monitoring Method for Static Comfort of Ejection Seat Based
on Human Factors Engineering.- Design of Mobile Education Evaluation System
for College Students Based on Digital Badge Technology Taking Legal
Education as an Example.- A Method of Resolving the Conflict of Shared
Resources in Online Teaching of Design Professional Artworks Based on
Feedback Integration.- Design of Substation Battery Remote Monitoring System
Based on LoRa Technology.- Optimization Scheduling Algorithm of Logistics
Distribution Vehicles Based on Internet of Vehicles Platform.- Design of
Logistics Information Tracking System for Petrochemical Enterprises under the
Background of Intelligent Logistics.- Real Time Tracking of The Position of
Intelligent Logistics Cold Chain Transportation Vehicles Based on Wireless
Sensor Networks.- A Real Time Tracking Method for Intelligent Logistics
Delivery Based on Recurrent Neural Network.- A Real Time Tracking Method for
Unmanned Traic VehiclePaths Based on Electronic Tags.- Error Motion Tracking
Method for Athletes Based on Multi Eye Machine Vision.- Research on Real Time
Tracking Method of Multiple Moving Objects Based on Machine Vision.- A Method
for Identity Feature Recognition in Wireless Visual Sensing Networks Based on
Convolutional Neural Networks.- Feature Recognition of Rural Household
Domestic Waste Based on ZigBee Wireless Sensor Network.- A Method of
Recognizing Specific Movements in Childrens Dance Teaching Video Based on
Edge Features.
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