Md. Martuza Ahamad

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Sakifa AktarAssistant Professor, Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityVerified email at bsmrstu.edu.bd
Mohammad Ali MoniThe University of Cambridge; Oxford University; University of Queensland; Charles Sturt UniversityVerified email at csu.edu.au
Julian QuinnChildren's Cancer Institute, NSW, AustraliaVerified email at ccia.org.au
Salem A. AlyamiImam Mohammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaVerified email at imamu.edu.sa
Md Rashed-Al-MahfuzResearch Asst, University of Illinois at Urbana-Champaign, USA; Asst Prof, University of RajshahiVerified email at ru.ac.bd
AKM AzadAssistant Professor, Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaVerified email at imamu.edu.sa
Shahadat UddinThe University of SydneyVerified email at sydney.edu.au
Valsamma EapenUNSWVerified email at unsw.edu.au
Ahm KamalJatiya Kabi Kazi Nazrul Islam UniversityVerified email at jkkniu.edu.bd
Sheikh Mohammed Shariful IslamAssociate Professor, Institute for Physical we Activity and Nutrition (IPAN), Deakin UniversityVerified email at deakin.edu.au
Ping-I LinUNSWVerified email at unsw.edu.au
Matthew Amiel Summers, PhDResearch Officer, Garvan Institute of Medical Research (m.summers@garvan.org.au)Verified email at garvan.org.au
Md. Jamal UddinAssistant Professor of Computer Science & Engineering, Bangabandhu Sheikh Mujibur Rahman Science andVerified email at bsmrstu.edu.bd
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
Ashis TalukderPhD Researcher at NCEPH, Australian National UniversityVerified email at anu.edu.au
roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au
Jemal AbawajyFull Professor, Deakin University, AustraliaVerified email at deakin.edu.au
Liliana Laranjo, MD MPH PhDSydney Medical School, University of SydneyVerified email at mail.harvard.edu
Dr. Lal B Rawal (PhD)Central Queensland University, Sydney Campus, AustraliaVerified email at cqu.edu.au
Md. Ibrahim AbdullahDepartment of Computer Science & Engineering, Islamic University. Kushtia. Bangladesh.Verified email at cse.iu.ac.bd

Md. Martuza Ahamad

Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology

Verified email at bsmrstu.edu.bd - Homepage

Quantum Computing Deep Learning mHealth


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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	162	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 for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries SMS Islam, A Talukder, MA Awal, MMU Siddiqui, MM Ahamad, ... Frontiers in Cardiovascular Medicine 9, 2022	38	2022
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
Comparison of Encryption Algorithms for Multimedia MM Ahamad, MI Abdullah Rajshahi University Journal of Science and Engineering 44, 131-139, 2016	23	2016
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
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification MAA Walid, S Mollick, PC Shill, MK Baowaly, MR Islam, MM Ahamad, ... Diagnostics 13 (19), 3155, 2023	3	2023
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
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
ROBUST HIERARCHICAL CLUSTERING TECHNIQUE OF WSN TO PROLONG NETWORK LIFETIME MS Hossain, MI Abdullah, MM Ahamad, MA Hossain, MS Islam		2020

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