Radiopharmaceutical therapy (RPT) offers molecular-targeted treatment strategies and presents an ideal model for advancing ...

Abstract: Convolution neural networks (CNNs) have been extensively used in machine learning applications. The most time-consuming part of CNNs are convolution operations. A common approach to ...

During his time as the secretary-general, the party soared, gaining national stature and competitiveness. Read: Ruto and ...

This repository contains code for the paper Canny operator based artifact identification and suppression for Non-line-of-sight imaging by Zhongyun Chen,Ziyang Chen,Zhiwei Li,Wenjie Tang,Dejian ...

Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.

Convolutional Neural Network vs Multilayer Perceptron . Convolutional Neural Network Layers . Kernels or Filters . The Convolutional Neural Network, known as CNN (Convolutional Neural Network), is one ...