Abstract: Neural networks (NNs) have been widely adopted for state of charge (SOC) estimation due to their high-efficiency nonlinear mapping and adaptive and self-learning abilities. However, their ...
Abstract: Breast tumor classification plays a crucial role in early detection and treatment planning for breast cancer. In recent years, deep learning models have shown remarkable success in ...
This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...
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