Abstract: The prediction of material properties is increasingly crucial for materials science, enabling design optimization and cost reduction. This study explores a novel approach: leveraging large ...
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, ...
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