41 citations · 43 across the 4 of their papers we have counts for
5 papers · 1 filter
Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis
Roshni Agrawal, Sivakumar Subramanian, Venkataramana Runkana
Solar irradiance clustering can enhance solar power capacity planning and help improve forecasting models by identifying similar irradiance patterns influenced by seasonal and weat…
Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data
Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee +1
The performance of supervised classification techniques often deteriorates when the data has noisy labels. Even the semi-supervised classification approaches have largely focused o…
Multi Scale Graph Wavenet for Wind Speed Forecasting
Neetesh Rathore, Pradeep Rathore, Arghya Basak +2
Geometric deep learning has gained tremendous attention in both academia and industry due to its inherent capability of representing arbitrary structures. Due to exponential increa…
Universal Adversarial Attack on Deep Learning Based Prognostics
Arghya Basak, Pradeep Rathore, Sri Harsha Nistala +2
Deep learning-based time series models are being extensively utilized in engineering and manufacturing industries for process control and optimization, asset monitoring, diagnostic…
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
Pradeep Rathore, Arghya Basak, Sri Harsha Nistala +1
Deep learning based models are vulnerable to adversarial attacks. These attacks can be much more harmful in case of targeted attacks, where an attacker tries not only to fool the d…