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 | 84 | 2022 |
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 | 69 | 2022 |
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 | 41 | 2023 |
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 | 39 | 2021 |
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 | 38 | 2021 |
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 | 37 | 2019 |
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 | 34 | 2022 |
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 | 30 | 2022 |
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 | 24 | 2023 |
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 | 19 | 2023 |
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 | 14 | 2023 |
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, 102313, 2023 | 10 | 2023 |
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 | 10 | 2022 |
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 | 9 | 2023 |
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 | 7 | 2023 |
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 | 6 | 2023 |
An IoT-based real-time intelligent irrigation system using machine learning SM Shahriar, HI Peyal, M Nahiduzzaman, MAH Pramanik 2021 13th International Conference on Information & Communication Technology …, 2021 | 6 | 2021 |
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, 2023 | 4 | 2023 |
Irv2-net: A deep learning framework for enhanced polyp segmentation performance integrating inceptionresnetv2 and unet architecture with test time augmentation techniques MF Ahamed, MK Syfullah, O Sarkar, MT Islam, M Nahiduzzaman, ... Sensors 23 (18), 7724, 2023 | 4 | 2023 |
A real time method for distinguishing COVID-19 utilizing 2D-CNN and transfer learning A Sultana, M Nahiduzzaman, SC Bakchy, SM Shahriar, HI Peyal, ... Sensors 23 (9), 4458, 2023 | 4 | 2023 |