| Artificial intelligence-driven image analysis of bacterial cells and biofilms S Ragi, MH Rahman, J Duckworth, K Jawaharraj, P Chundi, ... IEEE/ACM transactions on computational biology and bioinformatics 20 (1 …, 2021 | 19 | 2021 |
| Smart Phone Based Sensor Fusion by Using Madgwick Filter for 3D Indoor Navigation MA Hasan, MH Rahman Wireless Personal Communications, 2020 | 19 | 2020 |
| Deepqgho: Quantized greedy hyperparameter optimization in deep neural networks for on-the-fly learning AA Chowdhury, MA Hossen, MA Azam, MH Rahman IEEE Access 10, 6407-6416, 2022 | 15 | 2022 |
| Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh MA Hossen, E Zahir, HM Ata-E-Rabbi, MA Azam, MH Rahman IEEE World AI IoT Congress (AIIoT), 0366-0372, 2021 | 11* | 2021 |
| Deep Learning Approach to Extract Geometric Features of Bacterial Cells in Biofilms MH Rahman, J Duckworth, S Ragi, P Chundi, VR Gadhamshetty, ... Advances in Data Science and Information Engineering, 359-368, 2021 | 3 | 2021 |
| BiofilmScanner: A computational intelligence approach to obtain bacterial cell morphological attributes from biofilm image MH Rahman, MA Azam, MA Hossen, S Ragi, V Gadhamshetty arXiv preprint arXiv:2302.09629, 2023 | 2 | 2023 |
| Hybrid Ant Swarm-Based Data Clustering MA Azam, MA Hossen, MH Rahman 2021 IEEE World AI IoT Congress (AIIoT), 0170-0173, 2021 | 1 | 2021 |
| Deep Learning Methods for Automatic Extraction of Microscale Geometric Features of Biofilms MH Rahman South Dakota School of Mines and Technology, 2021 | | 2021 |
Md Abid HasanDoctoral Student, University of LuebeckVerified email at student.uni-luebeck.de
