| A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients MM Ahamad, S Aktar, M Rashed-Al-Mahfuz, S Uddin, P Liò, H Xu, ... Expert systems with applications 160, 113661, 2020 | 163 | 2020 |
| Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: statistical analysis and model development S Aktar, MM Ahamad, M Rashed-Al-Mahfuz, AKM Azad, S Uddin, ... JMIR medical informatics 9 (4), e25884, 2021 | 78* | 2021 |
| Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in COVID-19 S Aktar, A Talukder, M Ahamad, AHM Kamal, JR Khan, M Protikuzzaman, ... Diagnostics 11 (8), 1383, 2021 | 38 | 2021 |
| Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity MM Ahamad, S Aktar, MJ Uddin, M Rashed-Al-Mahfuz, AKM Azad, ... Healthcare 11 (1), 31, 2022 | 32 | 2022 |
| Early-stage detection of ovarian cancer based on clinical data using machine learning approaches MM Ahamad, S Aktar, MJ Uddin, T Rahman, SA Alyami, S Al-Ashhab, ... Journal of personalized medicine 12 (8), 1211, 2022 | 19 | 2022 |
| A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from bangladesh MJ Uddin, MM Ahamad, MN Hoque, MAA Walid, S Aktar, N Alotaibi, ... Information 14 (7), 376, 2023 | 10 | 2023 |
| An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder MJ Uddin, MM Ahamad, PK Sarker, S Aktar, N Alotaibi, SA Alyami, ... Computers 12 (5), 92, 2023 | 8 | 2023 |
| Efficient computation of leaf disease classification techniques using deep learning SA Mohona, S Aktar, MM Ahamad 2021 3rd International Conference on Electrical & Electronic Engineering …, 2021 | 5 | 2021 |
| Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease NI Mahbub, MI Hasan, MM Ahamad, S Aktar, MA Moni 2022 International Conference on Innovations in Science, Engineering and …, 2022 | 4 | 2022 |
| Early stage autism spectrum disorder detection of adults and toddlers using machine learning models M Hasan, MM Ahamad, S Aktar, MA Moni 2021 5th International Conference on Electrical Information and …, 2021 | 4 | 2021 |
| Movie genre classification with deep neural network using poster images N Hossain, MM Ahamad, S Aktar, MA Moni 2021 International Conference on Information and Communication Technology …, 2021 | 4 | 2021 |
| Multi-view 3d object retrieval using autoencoder & deep embedding network S Aktar, M Al Mamun 2019 International Conference on Electrical, Computer and Communication …, 2019 | 4 | 2019 |
| Machine Learning Approaches to Predict Rice Yield of Bangladesh T Rahman, S Aktar 2022 International Conference on Innovations in Science, Engineering and …, 2022 | 2 | 2022 |
| A machine learning model to recognise human emotions using electroencephalogram N Roy, S Aktar, MM Ahamad, MA Moni 2021 5th International Conference on Electrical Information and …, 2021 | 2 | 2021 |
| Influence of weeding regime and integrated nutrient management on the yield performance of transplant Aman Rice (cv. BRRI Dhan49) S Aktar, MA Salam, MR Uddin, MS Rahman, FU Talukder, S Imran Reviews in Food and Agriculture 1 (2), 42-49, 2020 | 2 | 2020 |
| Comparative Study of Multi-View 3D Object Retrieval with Autoencoder & Deep Embedding Network S Aktar, M Al Mamun, MA Hossain 2018 21st International Conference of Computer and Information Technology …, 2018 | 2 | 2018 |
| An Explainable Machine Learning Framework for Early Detection of Stroke MJ Uddin, PK Sarker, MN Hoque, S Aktar, MM Ahmad International Multilingual Journal of Science and Technology (IMJST) 8 (5), 2023 | 1 | 2023 |
| A Machine Learning Approach to Track COVID-19 Pandemic using Sentiment Analysis T Rahman, S Aktar 2021 3rd International Conference on Electrical & Electronic Engineering …, 2021 | 1 | 2021 |
| SOLAR BUBBLE DRYER: ALTERNATIVE TO SUN DRYING FOR REDUCING DRYING LOSSES S Aktar, MA Alam, MM Alam, CK Saha, JC Roy | | |
Md. Martuza AhamadComputer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and TechnologyVerified email at bsmrstu.edu.bd
