3 citations · 5 across the 2 of their papers we have counts for
3 papers
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi +1
Anomaly detection in multi-variate time series (MVTS) data is a huge challenge as it requires simultaneous representation of long term temporal dependencies and correlations across…
Knowledge Capture and Replay for Continual Learning
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham Fayek +2
Deep neural networks have shown promise in several domains, and the learned data (task) specific information is implicitly stored in the network parameters. Extraction and utilizat…
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul +7
Regular inspection of rail valves and engines is an important task to ensure the safety and efficiency of railway networks around the globe. Over the past decade, computer vision a…