Prediction of COVID-19 trend in India and its four worst-affected states using modified SEIRD and LSTM models P Bedi, S Dhiman, P Gole, N Gupta, V Jindal SN computer science 2, 1-24, 2021 | 29 | 2021 |
Smart contract based central sector scheme of scholarship for college and university students P Bedi, P Gole, S Dhiman, N Gupta Procedia Computer Science 171, 790-799, 2020 | 24 | 2020 |
Knowledge graph enrichment from clinical narratives using NLP, NER, and biomedical ontologies for healthcare applications A Thukral, S Dhiman, R Meher, P Bedi International Journal of Information Technology 15 (1), 53-65, 2023 | 12 | 2023 |
OHF: An ontology based framework for healthcare S Dhiman, A Thukral, P Bedi International Conference on Artificial Intelligence and Speech Technology …, 2021 | 3 | 2021 |
Predicting the Peak and COVID-19 trend in six high incidence countries: A study based on Modified SEIRD model P Bedi, S Dhiman, N Gupta, V Jindal, P Gole medRxiv, 2020.12. 14.20248117, 2020 | 2 | 2020 |
Classification of genetic mutations using ontologies from clinical documents and deep learning P Bedi, Shivani, N Gupta, P Jagwani, V Bhasin Web Semantics, 233-250, 2021 | 1 | 2021 |
Prediction of COVID-19 Trend in India and Its Four Worst-Affected States Using Modified SEIRD and LSTM Models [J] B Punam, D Shivani, G Pushkar, G Neha, J Vinita SN computer science 2 (3), 2021 | | 2021 |