Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

Ashely Claudino is an Evergreen Staff Writer from Portugal. She has a Translation degree from the University of Lisbon (2020, Faculty of Arts and Humanities). Nowadays, she mostly writes Fortnite and ...

Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon ...

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.

A weak spot in the Earth's magnetic field is growing over the South Atlantic Ocean, according to more than a decade's worth of satellite data collected by scientists. The magnetic field surrounding ...

The South Atlantic Anomaly, a huge weak spot in the geomagnetic field off South America, has expanded and sprouted a lobe in the direction of Africa over the past decade. When you purchase through ...

This repository based on "https://github.com/Michedev/VAE_anomaly_detection?tab=readme-ov-file" Pytorch implementation of Variational AutoEncoder for anomaly ...

A team of researchers from the University of South Africa has unveiled a new approach that could transform how financial institutions detect and prevent credit card fraud. Their research delivers a ...