FOR years, lecturer Dr Mehran Behjati and his wife would spend their weekends outdoors, taking to the bike trails and cycling ...

This study utilized 1D and 2D convolutional neural networks (CNN) to assess OA of the knee using vibroarthrographic (VAG) signals recorded by an inertial measurement unit sensor. VAG signals were ...

We demonstrate, using a supervised convolutional neural network (RM-Net), the creation of chemical maps from hyperspectral Stimulated Raman Scattering images. Using a limited number (800) of training ...

This article is published by AllBusiness.com, a partner of TIME. A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

We are being super paranoid about safety, so the date could shift,” Elon Musk tweeted on X, regarding Tesla’s June 22 ...

In the recent Chinese blockbuster Operation Leviathan, an American nuclear submarine uses hi-tech acoustic holograms to ...

Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such as image classification, object detection, and image ...

We develop a machine learning based algorithm using a convolutional neural network (CNN) to identify low H I column density Ly alpha absorption systems (log N-H I/cm(-2) < 17) in the Ly alpha forest, ...