Abstract: A nomaly detection aims at identifying data points which are rare or significantly different from the majority of data points. Many techniques are explored to build highly efficient and ...

Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum - University of Bologna, via Belmeloro 6, 40126 Bologna, Italy Computational & Chemical Biology, Fondazione Istituto Italiano di ...

The re-labeled NRSD-MN dataset, AMFF-YOLOX source code and paper "AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection".

Molecular Simulation Research Laboratory, Department of Chemistry, Iran University of Science and Technology, Tehran 16846-13114, Iran ...

Abstract: The detection of transformer abnormalities is a critical aspect of substation safety and reliability. Traditionally, this task relies on human judgment, where duty officers assess ...

Protein surface serves as an important representation of protein structure, determining the biological functions. With the flourishing of deep learning, various descriptors for protein surface have ...

An uncrewed mission to the lunar surface carrying NASA payloads has encountered a technical anomaly hours after launching on the maiden flight of the United Launch Alliance’s next generation Vulcan ...

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We ...

The map above shows sea surface temperature anomalies on July 14, 2020 indicating how much the water was above or below the long-term average (2003-2014) temperature on that same day. Disclaimer: AAAS ...