| Network intrusion detection using supervised machine learning technique with feature selection KA Taher, BMY Jisan, MM Rahman 2019 International conference on robotics, electrical and signal processing …, 2019 | 319 | 2019 |
| Analyzing the epidemiological outbreak of COVID‐19: A visual exploratory data analysis approach SK Dey, MM Rahman, UR Siddiqi, A Howlader Journal of medical virology 92 (6), 632-638, 2020 | 255 | 2020 |
| COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images KH Shibly, SK Dey, MTU Islam, MM Rahman Informatics in Medicine Unlocked 20, 100405, 2020 | 188 | 2020 |
| Implementation of a web application to predict diabetes disease: an approach using machine learning algorithm SK Dey, A Hossain, MM Rahman 2018 21st international conference of computer and information technology …, 2018 | 120 | 2018 |
| Effects of machine learning approach in flow-based anomaly detection on software-defined networking SK Dey, MM Rahman Symmetry 12 (1), 7, 2019 | 95 | 2019 |
| Person identification using ear biometrics M Rahman, MR Islam, NI Bhuiyan, B Ahmed, A Islam International Journal of The Computer, the Internet and Management 15 (2), 1-8, 2007 | 92 | 2007 |
| Modelling of jute production using artificial neural networks MM Rahman, BK Bala Biosystems Engineering 105 (3), 350-356, 2010 | 87 | 2010 |
| A survey on intrusion detection system in IoT networks MM Rahman, S Al Shakil, MR Mustakim Cyber Security and Applications 3, 100082, 2025 | 71 | 2025 |
| Flow based anomaly detection in software defined networking: A deep learning approach with feature selection method SK Dey, MM Rahman 2018 4th international conference on electrical engineering and information …, 2018 | 66 | 2018 |
| Socio-economic aspects of carp culture development in Gazipur, Bangladesh MM Rahman An MS thesis submitted to the Department of Fisheries Management, Bangladesh …, 2003 | 64 | 2003 |
| Hospital patients’ length of stay prediction: A federated learning approach MM Rahman, D Kundu, SA Suha, UR Siddiqi, SK Dey Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 61 | 2022 |
| An endophytic Basidiomycete, Grammothele lineata, isolated from Corchorus olitorius, produces paclitaxel that shows cytotoxicity A Das, MI Rahman, AS Ferdous, A Amin, MM Rahman, N Nahar, ... PLoS One 12 (6), e0178612, 2017 | 58 | 2017 |
| Network intrusion detection using unsw-nb15 dataset: Stacking machine learning based approach MH Kabir, MS Rajib, ASMT Rahman, MM Rahman, SK Dey 2022 international conference on advancement in electrical and electronic …, 2022 | 44 | 2022 |
| Epidemiological implications of the molecular characterizationof foot-and-mouth disease virus isolated between 1996 and 2000in Bangladesh MA Islam, MM Rahman, KH Adam, O Marquardt Virus genes 23 (2), 203-210, 2001 | 38 | 2001 |
| Network intrusion detection using hybrid machine learning model AKMMR Mazumder, NM Kamruzzaman, N Akter, N Arbe, MM Rahman 2021 International Conference on Advances in Electrical, Computing …, 2021 | 31 | 2021 |
| Detection of flow based anomaly in openflow controller: Machine learning approach in software defined networking SK Dey, MM Rahman, MR Uddin 2018 4th International Conference on Electrical Engineering and Information …, 2018 | 29 | 2018 |
| An efficient authentication scheme for secured service provisioning in edge-enabled vehicular cloud networks towards sustainable smart cities MM Elahi, MM Rahman, MM Islam Sustainable Cities and Society 76, 103384, 2022 | 28 | 2022 |
| Ultrasound guided fine needle aspiration cytology for diagnosis of mass lesions of liver. SI Talukder, MH Huq, MA Haque, S Rahman, SM Islam, GA Hossain, ... Mymensingh Medical Journal: MMJ 13 (1), 25-29, 2004 | 28 | 2004 |
| Performance analysis of SDN-based intrusion detection model with feature selection approach SK Dey, M Raihan Uddin, M Mahbubur Rahman Proceedings of International Joint Conference on Computational Intelligence …, 2019 | 27 | 2019 |
| Underlying disorders of postpartum anoestrus and effectiveness of their treatments in crossbred dairy cows. MM Kamal, MM Rahman, HW Momont, M Shamsuddin | 27 | 2012 |
