The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

The Ghana Atomic Energy Commission (GAEC) is positioning Ghana at the forefront of Africa’s technological transformation by advancing the strategic use of Artificial Intelligence (AI) across key ...

Abstract: The health indicator (HI) of rotating machinery affects the reliability and accuracy of its remaining useful life (RUL) prediction. Convolutional autoencoder (CAE) is widely used for HI ...

This GitHub repository contains the code used for the purposes of the article Near-lossless EEG Signal Compression Using a Convolutional Autoencoder: Case Study for 256-channel Binocular Rivalry ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and ...

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.