no code implementations • 4 Nov 2022 • Lalit Ghule, Rishikesh Ranade, Jay Pathak
In recent years, Machine learning (ML) techniques developed for Natural Language Processing (NLP) have permeated into developing better computer vision algorithms.
no code implementations • 11 Oct 2022 • Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak
The numerical experiments show that our approach outperforms ML baselines in terms of 1) accuracy across quantitative metrics and 2) generalization to out-of-distribution conditions as well as domain sizes.
1 code implementation • 5 Oct 2020 • Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani
In this work, we analyze vibration signal data of mechanical systems with bearings by combining different signal processing methods and coupling them with machine learning techniques to classify different types of bearing faults.
Ranked #2 on Classification on CWRU Bearing Dataset (using extra training data)