Abstract: The study introduces a new method to enhance vehicle type recognition rates in Internet of Vehicles environment. The approach integrates a vehicle target detection model that utilizes ...
The distinctly American team used a cultural phenomenon to reach the biggest audience possible as it tries to complete its “moonshot” into the sport. As the Seahawks dominated the Patriots on the ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Parse OCMF strings into validated Python objects Verify cryptographic signatures for data integrity Support for ECDSA with multiple curves (secp192r1, secp256r1, secp384r1, secp521r1, brainpool ...
Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...
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