11 citations · 13 across the 3 of their papers we have counts for
3 papers
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal +1
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration…
An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis
Akshat Shukla, Chaarvi Bansal, Sushrut Badhe +2
Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit…
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19
Rohitash Chandra, Chaarvi Bansal, Mingyue Kang +5
Due to the high mutation rate of the virus, the COVID-19 pandemic evolved rapidly. Certain variants of the virus, such as Delta and Omicron, emerged with altered viral properties l…