Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...
(1) A type of AI architecture. See convolutional neural network. (2) A type of forward error correction (FEC) in communications. See channel coding. THIS DEFINITION ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
Machine learning (ML) is a subset of artificial intelligence (AI) techniques that have shown great potential in solving challenging tasks in multimedia content processing. In the BBC Research & ...
Polar codes are a channel coding technology and all channel coding technology works in basically a quite similar way. Communication links are susceptible to errors due to random noise, interference, ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
Please provide your email address to receive an email when new articles are posted on . Specificity and accuracy rates were higher among convolutional neural networks (CNNs). Dermatologists with fewer ...
Please provide your email address to receive an email when new articles are posted on . LAS VEGAS – A trained convolutional neural network detected key cholangioscopy image features suggestive of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback