2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Generating Synthetic Time Series Data for Cyber-Physical Systems
Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins +4
Data augmentation is an important facilitator of deep learning applications in the time series domain. A gap is identified in the literature, demonstrating sparse exploration of th…
cs.AI2024★ 2 cited
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alex Sommers, Somayeh Bakhtiari Ramezani +4
Predictive maintenance is a well studied collection of techniques that aims to prolong the life of a mechanical system by using artificial intelligence and machine learning to pred…