Nature

Anomaly detection in urban lighting systems using autoencoder and transformer algorithms

The study aims to present the effectiveness of anomaly detection algorithms in lighting systems based on analyzing records from electricity meters. The road lighting management system operates ...
Nature

Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information

Deep learning networks have extensively been used to detect multi-element geochemical anomalies linked to different mineral deposits in recent decades. Efficient detection of multi-element geochemical ...
FedScoop

CBP still working toward anomaly detection algorithms at the border

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...