Search Results for author:
Found 3 papers, 2 papers with code
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
The dataset consists of 438 drugs, of which 224 are under clinical trials for COVID-19 (category A).
An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis
Sanskrit is known as the mother of languages such as Hindi and an ancient source of the Indo-European group of languages.
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19
This paper presents a framework that utilizes unsupervised machine learning methods to discriminate and visualize the associations between major COVID-19 variants based on their genome sequences.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
