Прати
Md Nahiduzzaman
Md Nahiduzzaman
PhD Student, RMIT University
Верификована је имејл адреса на ece.ruet.ac.bd - Почетна страница
Наслов
Навело
Навело
Година
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
MR Islam, M Nahiduzzaman
Expert Systems with Applications 195, 116554, 2022
1142022
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
MR Islam, LF Abdulrazak, M Nahiduzzaman, MOF Goni, MS Anower, ...
Computers in biology and medicine 146, 105602, 2022
1052022
An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
HB Kibria, M Nahiduzzaman, MOF Goni, M Ahsan, J Haider
Sensors 22 (19), 7268, 2022
882022
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
M Nahiduzzaman, MR Islam, MOF Goni, MS Anower, M Ahsan, J Haider, ...
Expert Systems with Applications 217, 119557, 2023
852023
Hybrid CNN-SVD based prominent feature extraction and selection for grading diabetic retinopathy using extreme learning machine algorithm
M Nahiduzzaman, MR Islam, SMR Islam, MOF Goni, MS Anower, ...
IEEE Access 9, 152261-152274, 2021
632021
Fast and accurate fault detection and classification in transmission lines using extreme learning machine
MOF Goni, M Nahiduzzaman, MS Anower, MM Rahman, MR Islam, ...
e-Prime-Advances in Electrical Engineering, Electronics and Energy 3, 100107, 2023
542023
A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images
M Nahiduzzaman, MOF Goni, MS Anower, MR Islam, M Ahsan, J Haider, ...
IEEE Access 9, 147512-147526, 2021
532021
Prediction of heart disease using multi-layer perceptron neural network and support vector machine
M Nahiduzzaman, MJ Nayeem, MT Ahmed, MSU Zaman
2019 4th International conference on electrical information and …, 2019
522019
Explainable transformer-based deep learning model for the detection of malaria parasites from blood cell images
MR Islam, M Nahiduzzaman, MOF Goni, A Sayeed, MS Anower, M Ahsan, ...
Sensors 22 (12), 4358, 2022
502022
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
MF Ahamed, MM Hossain, M Nahiduzzaman, MR Islam, MR Islam, ...
Computerized Medical Imaging and Graphics 110, 102313, 2023
462023
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
M Nahiduzzaman, MR Islam, R Hassan
Expert Systems with Applications 211, 118576, 2023
362023
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
M Nahiduzzaman, MOF Goni, R Hassan, MR Islam, MK Syfullah, ...
Expert Systems with Applications 229, 120528, 2023
352023
Plant disease classifier: Detection of dual-crop diseases using lightweight 2d cnn architecture
HI Peyal, M Nahiduzzaman, MAH Pramanik, MK Syfullah, SM Shahriar, ...
IEEE Access 11, 110627-110643, 2023
302023
Diagnosis of malaria using double hidden layer extreme learning machine algorithm with CNN feature extraction and parasite inflator
MOF Goni, MNI Mondal, SMR Islam, M Nahiduzzaman, MR Islam, ...
IEEE Access 11, 4117-4130, 2023
262023
Explainable deep learning model for automatic mulberry leaf disease classification
M Nahiduzzaman, MEH Chowdhury, A Salam, E Nahid, F Ahmed, ...
Frontiers in Plant Science 14, 1175515, 2023
252023
State of charge estimation for electric vehicle battery management systems using the hybrid recurrent learning approach with explainable artificial intelligence
SM Shahriar, EA Bhuiyan, M Nahiduzzaman, M Ahsan, J Haider
Energies 15 (21), 8003, 2022
252022
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
M Nahiduzzaman, LF Abdulrazak, MA Ayari, A Khandakar, SMR Islam
Expert Systems with Applications 248, 123392, 2024
202024
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
M Nahiduzzaman, MOF Goni, MR Islam, A Sayeed, MS Anower, M Ahsan, ...
biocybernetics and biomedical engineering 43 (3), 528-550, 2023
182023
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
MJ Karim, MOF Goni, M Nahiduzzaman, M Ahsan, J Haider, M Kowalski
Scientific Reports 14 (1), 16022, 2024
122024
A deep learning-based automatic segmentation and 3D visualization technique for intracranial hemorrhage detection using computed tomography images
MM Khan, MEH Chowdhury, ASMS Arefin, KK Podder, MSA Hossain, ...
Diagnostics 13 (15), 2537, 2023
102023
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