A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Abstract: Convolutional neural network-based single image super-resolution (SISR) involves numerous parameters and high computational expenses to ensure improved performance, limiting its ...

Abstract: This work considers the asymptotic behavior of the distance between two sample covariance matrices (SCM). A general result is provided for a class of functionals that can be expressed as ...

ABSTRACT: In a context where traditional medicine occupies an important place in Côte d’Ivoire, the reliable identification of active compounds from medicinal plants is becoming essential. This thesis ...