Abstract: This work discusses an improved CMOS-based, noise-immune nonlinear sigmoid activation function designed for enhanced neural network performance. The proposed architecture provides a precise, ...
Abstract: Currently, deep learning algorithms are widely used in automatic classification and detection problems in the biomedical field. Implementing these algorithms on digital platforms presents ...
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