Md. Martuza Ahamad

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Sakifa AktarAssistant Professor, Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityAdresse e-mail validée de bsmrstu.edu.bd
Mohammad Ali MoniThe University of Cambridge; Oxford University; University of Queensland; Charles Sturt UniversityAdresse e-mail validée de csu.edu.au
Julian QuinnChildren's Cancer Institute, NSW, AustraliaAdresse e-mail validée de ccia.org.au
Salem A. AlyamiImam Mohammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaAdresse e-mail validée de imamu.edu.sa
AKM AzadAssociate Professor, Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaAdresse e-mail validée de imamu.edu.sa
Shahadat UddinThe University of SydneyAdresse e-mail validée de sydney.edu.au
Md Rashed-Al-MahfuzResearch Asst, University of Illinois at Urbana-Champaign, USA; Asst Prof, University of RajshahiAdresse e-mail validée de ru.ac.bd
Md. Jamal UddinAssistant Professor of Computer Science & Engineering, Bangabandhu Sheikh Mujibur Rahman Science andAdresse e-mail validée de bsmrstu.edu.bd
Valsamma EapenUNSWAdresse e-mail validée de unsw.edu.au
Ahm KamalJatiya Kabi Kazi Nazrul Islam UniversityAdresse e-mail validée de jkkniu.edu.bd
Sheikh Mohammed Shariful IslamAssociate Professor, Institute for Physical Activity and Nutrition (IPAN), Deakin UniversityAdresse e-mail validée de deakin.edu.au
Matthew Amiel Summers, PhDResearch Officer, Garvan Institute of Medical Research ([email protected])Adresse e-mail validée de garvan.org.au
Pietro LiòProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Ping-I (Daniel) LinUNSWAdresse e-mail validée de unsw.edu.au
Ashis TalukderPhD Researcher at NCEPH, Australian National UniversityAdresse e-mail validée de anu.edu.au
roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityAdresse e-mail validée de deakin.edu.au
Jemal AbawajyFull Professor, Deakin University, AustraliaAdresse e-mail validée de deakin.edu.au
Liliana Laranjo, MD MPH PhDSydney Medical School, University of SydneyAdresse e-mail validée de mail.harvard.edu
Dr. Lal B Rawal (PhD)Central Queensland University, Sydney Campus, AustraliaAdresse e-mail validée de cqu.edu.au
Md. Abul Ala WalidBangabandhu Sheikh Mujibur Rahman Digital UniversityAdresse e-mail validée de stud.kuet.ac.bd

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Md. Martuza Ahamad

Ubicomp Lab, Marquette University

Adresse e-mail validée de marquette.edu - Page d'accueil

Quantum Computing Deep Learning mHealth


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	178	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	89*	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	65	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	51	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	45	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	39	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	25	2023
Comparison of Encryption Algorithms for Multimedia MM Ahamad, MI Abdullah Rajshahi University Journal of Science and Engineering 44, 131-139, 2016	25	2016
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	18	2023
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	11	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	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	8	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	5	2022
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	4	2023
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
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	3	2021
Exploring Transformer models in the sentiment analysis task for the under-resource Bengali language MN Hoque, U Salma, MJ Uddin, MM Ahamad, S Aktar Natural Language Processing Journal 8, 100091, 2024	2	2024
Quantum computing for smart healthcare PV Meikandan, PB Upama, M Rabbani, MM Ahamad, SI Ahamed Sensor Networks for Smart Hospitals, 525-534, 2025		2025
Deep transfer learning-based bird species classification using mel spectrogram images MK Baowaly, BC Sarkar, MAA Walid, MM Ahamad, BC Singh, ... PloS one 19 (8), e0305708, 2024		2024
Impact of Covid-19 on Bangladeshi university students mental health: ML and DL analysis MMAB Atique, MI Bappi, K Kim, K Choi, MM Ahamad, KM Reza medRxiv, 2024.05. 17.24307476, 2024		2024

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