AUTOMATED RECOGNITION OF THE CRICKET BATTING BACKLIFT TECHNIQUE IN VIDEO FOOTAGE USING DEEP LEARNING ARCHITECTURES

Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures

Abstract There have been limited studies demonstrating the validation of batting techniques in cricket using machine learning.This study demonstrates how Perfumes the batting backlift technique in cricket can be automatically recognised in video footage and compares the performance of popular deep learning architectures, namely, AlexNet, Inception

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Location-Based Hybrid Precoding Schemes and QoS-Aware Power Allocation for Radar-Aided UAV–UGV Cooperative Systems

Unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) complement each other, promising a variety of benefits for unmanned cooperative systems.When infrastructures for communication are unavailable, such as disaster Tent Accessories relief and patrol mission in sparsely populated areas, UGVs can be controlled to go to the esignated are

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