| CRISPRpred (SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning AH Muhammad Rafid, M Toufikuzzaman, MS Rahman, MS Rahman BMC bioinformatics 21, 1-13, 2020 | 32 | 2020 |
| Analyzing hCov genome sequences: predicting virulence and mutation S Sawmya, A Saha, S Tasnim, M Toufikuzzaman, N Anjum, AHM Rafid, ... bioRxiv, 2020.06. 03.131987, 2020 | 11* | 2020 |
| Adjoint-matching neural network surrogates for fast 4D-Var data assimilation A Chennault, AA Popov, AN Subrahmanya, R Cooper, AHM Rafid, ... arXiv preprint arXiv:2111.08626, 2021 | 1 | 2021 |
| Adversarial Training Using Feedback Loops AHM Rafid, A Sandu arXiv preprint arXiv:2308.11881, 2023 | | 2023 |
| Neural Network Reduction with Guided Regularizers AHM Rafid, A Sandu arXiv preprint arXiv:2305.18448, 2023 | | 2023 |
| Phylogenetic Analyses of SARS-CoV-2 Strains Reveal Its Link to the Spread of COVID-19 Across the Globe S Sawmya, A Saha, S Tasnim, N Anjum, M Toufikuzzaman, AHM Rafid, ... MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | | 2022 |
Md. ToufikuzzamanLecturer of Computer Science and Engineering, BUETVerified email at cse.buet.ac.bd
