K. AshaRani

Optimizing convolutional neural network architectures for image analysis using mathematical series-based layer configurations

A novel approach to CNN architecture optimization is proposed by leveraging mathematical series—such as arithmetic, geometric, or harmonic progressions—to define structured, scalable, and interpretable layer configurations, offering a lightweight, reproducible framework for CNN configuration that can be adapted across...