Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
Abstract: In UAV Consumer Applications, the challenges and methods of current unmanned aerial vehicle (UAV) radar detection technology are examined. The quantum multi-pattern recognition network model ...
State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
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