Mohammad Shorfuzzaman
Mohammad Shorfuzzaman
Professor, Department of Computer Science, CCIT, Taif University, Saudi Arabia
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Cited by
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
M Shorfuzzaman, MS Hossain
Pattern recognition 113, 107700, 2021
Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic
M Shorfuzzaman, MS Hossain, MF Alhamid
Sustainable cities and society 64, 102582, 2021
Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment
M Shorfuzzaman, MS Hossain, A Nazir, G Muhammad, A Alamri
Computers in Human behavior 92, 578-588, 2019
Leveraging deep learning techniques for malaria parasite detection using mobile application
M Masud, H Alhumyani, SS Alshamrani, O Cheikhrouhou, S Ibrahim, ...
Wireless Communications and Mobile Computing 2020, 1-15, 2020
Modeling learners’ readiness to adopt mobile learning: A perspective from a GCC higher education institution
M Shorfuzzaman, M Alhussein
Mobile information systems 2016, 2016
Permissioned blockchain and deep learning for secure and efficient data sharing in industrial healthcare systems
R Kumar, P Kumar, R Tripathi, GP Gupta, AKMN Islam, M Shorfuzzaman
IEEE Transactions on Industrial Informatics 18 (11), 8065-8073, 2022
A smart ontology-based IoT framework for remote patient monitoring
N Sharma, M Mangla, SN Mohanty, D Gupta, P Tiwari, M Shorfuzzaman, ...
Biomedical Signal Processing and Control 68, 102717, 2021
Enhanced engineering education using smart class environment
A Alelaiwi, A Alghamdi, M Shorfuzzaman, M Rawashdeh, MS Hossain, ...
Computers in Human behavior 51, 852-856, 2015
An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection
M Shorfuzzaman
Multimedia Systems 28 (4), 1309-1323, 2022
Enhancement of detection of diabetic retinopathy using Harris hawks optimization with deep learning model
N Gundluru, DS Rajput, K Lakshmanna, R Kaluri, M Shorfuzzaman, ...
Computational Intelligence and Neuroscience 2022, 2022
Addressing binary classification over class imbalanced clinical datasets using computationally intelligent techniques
V Kumar, GS Lalotra, P Sasikala, DS Rajput, R Kaluri, K Lakshmanna, ...
Healthcare 10 (7), 1293, 2022
On the Detection of COVID-19 from Chest X-Ray Images Using CNN-Based Transfer Learning.
M Shorfuzzaman, M Masud
Computers, Materials & Continua 64 (3), 2020
Artificial neural network-based deep learning model for COVID-19 patient detection using X-ray chest images
M Shorfuzzaman, M Masud, H Alhumyani, D Anand, A Singh
Journal of Healthcare Engineering 2021, 1-16, 2021
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
K Shankar, E Perumal, P Tiwari, M Shorfuzzaman, D Gupta
Multimedia Systems 28 (4), 1175-1187, 2022
Adaptive popularity-driven replica placement in hierarchical data grids
M Shorfuzzaman, P Graham, R Eskicioglu
The Journal of Supercomputing 51, 374-392, 2010
A non-invasive interpretable diagnosis of melanoma skin cancer using deep learning and ensemble stacking of machine learning models
IA Alfi, MM Rahman, M Shorfuzzaman, A Nazir
Diagnostics 12 (3), 726, 2022
Diagnosis of brain tumor using light weight deep learning model with fine tuning approach
T Shelatkar, U Bansal
International Conference on Machine Intelligence and Signal Processing, 105-114, 2022
COME-UP: Computation offloading in mobile edge computing with LSTM based user direction prediction
SKU Zaman, AI Jehangiri, T Maqsood, AI Umar, MA Khan, NZ Jhanjhi, ...
Applied Sciences 12 (7), 3312, 2022
Usability of a cloud-based collaborative learning framework to improve learners’ experience
M Shorfuzzaman, A Alelaiwi, M Masud, MM Hassan, MS Hossain
Computers in Human Behavior 51, 967-976, 2015
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification
MA Asghar, MJ Khan, M Rizwan, M Shorfuzzaman, RM Mehmood
Multimedia Systems 28 (4), 1275-1288, 2022
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