Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
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Max pooling in CNNs explained for deep learning
In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
Abstract: To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of ...
Abstract: In this research paper, we present a novel method for obtaining the patterns of inputs that generate low-weight codewords in Recursive Systematic Convolutional (RSC) codes, hereafter ...
Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
ABSTRACT: Current computer tools aimed at the process of automatically harmonizing melodies have been reported here. These tools were divided into two lines of description: Plug-ins and Programs. It ...
Binary Convolutional Codes (BCC) are a type of error-correcting code used in digital communication systems to mitigate the effects of noise and interference during transmission. This repository ...
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