Παρακολούθηση
Md. Martuza Ahamad
Md. Martuza Ahamad
Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα bsmrstu.edu.bd - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
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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
1642020
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
80*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
392022
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
392021
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
332022
Comparison of Encryption Algorithms for Multimedia
MM Ahamad, MI Abdullah
Rajshahi University Journal of Science and Engineering 44, 131-139, 2016
242016
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
222022
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
102023
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
92023
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
52021
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
42022
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
42021
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
42021
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
32023
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
32021
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
12023
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
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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