Book Chapters (2)
- 1. Abdullah Al Rafi, Rakibul Hassan, Md Rabiul Islam, Md Nahiduzzaman; "Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN", Springer Nature Singapore, 2023
- 2. Md Rakibul Islam, Abdul Matin, Md Nahiduzzaman, Md Saifullah Siddiquee, Fahim Md Sifnatul Hasnain, SM Shovan, Tonmoy Hasan; "A Novel Deep Convolutional Neural Network Model for Detection of Parkinson Disease by Analysing the Spiral Drawing", Springer, Singapore, 2021
Journal Articles (28)
- 1. Md. Omaer Faruq Goni, BSc; Md. Nahiduzzaman, BSc; Dr Muhammad E. H. Chowdhury, Ph.D; Abdulrahman Alqahtani, Ph.D.; S. M. Riazul Islam, Ph.D.; "Explainable Malaria Detection from Red Blood Cell Images using CNN-ELM Model", Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review), 2023
- 2. Md. Faysal Ahamed; Md. Munawar Hossain; Md. Nahiduzzaman; Md. Rabiul Islam; Md. Robiul Islam; Mominul Ahsan; Julfikar haider; "A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques", Computerized Medical Imaging and Graphics (Q1, IF: 5.7) (Under Review), 2023
- 3. Md Nahiduzzaman; Md. Faysal Ahamed; Norah Saleh Alghamdi; S. M. Riazul Islam; "SHAP-Guided Gastrointestinal Disease Classification with Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM", Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review), 2023
- 4. Md. Omaer Faruq Goni, Md.Nahiduzzaman, Md. Shamim Anower, Md. Mahabubur Rahman, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, and Mohammad Shahjalal; "Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine", ELSEVIER e-Prime, 2023
- 5. Md. Nahiduzzaman et al.; "A Novel framework for Lung Cancer Classification using Lightweight Convolutional Neural Networks and Hybrid Ridge-ELM Model with SHAP Interpretability", Expert Systems with Applications (Elsevier, Q1, IF: 8.5) (Under Review), 2023
- 6. Md. Faysal Ahmed, Md. Nahiduzzaman et al.; "Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques", Cognitive Computation (Under Review), 2023
- 7. Md Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, and Marcin Kowalski; "Diabetic Retinopathy Identification Using Parallel Convolutional Neural Network Based Feature Extractor and ELM Classifier", Expert Systems with Applications (Elsevier, Q1, IF: 8.5), 2023
- 8. Md. Nahiduzzaman; Hafsa Binte Kibria; Muhammad E.H. Chowdhury; Amith Khandakar; Abdulrahman Alqahtani; Julfikar Haider; Sakib Mahmud; Anwarul Hasan; "A Novel Deep Learning Framework for Detection and Classification of Lung Adenocarcinoma and Squamous Cell Carcinoma from Computed Tomography Images", Cognitive Computation (Submitted), 2023
- 9. Md. Nahiduzzaman; Lway Faisal Abdulrazak; Hafsa Binte Kibria; Amith Khandakar; Mominul Ahsan;Julfikar Haider; Mohammad Ali Moni; "A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images", Biocybernetics and Biomedical Engineering (Under Review), 2023
- 10. Muntakim Mahmud Khan, Muhammad E.H. Chowdhury *, A S M Shamsul Arefin, Kanchon Kanti Podder, Md. Sakib Abrar Hossain, Abdulrahman Alqahtani, M. Murugappan *, Amith Khandakar, Adam Mushtak, Md Nahiduzzaman; "A Deep Learning Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection using Computed Tomography Images", Diagnostic (MDPI), 2023
- 11. Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid, Faruque Ahmed, Nasser Al-Emadi, Mohamed Arselene Ayari, Amith Khandakar and Julfikar Haider; "Explainable Deep Learning Model for Automatic Mulberry Leaf Disease Detection", Frontiers in Plant Science (Q1, IF: 5.6), 2023
- 12. Abida Sultana, Md Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad E. H. Chowdhury *, Amith Khandakar, Mohamed Arslane Ayari, Mominul Ahsan *, Julfikar Haider; "A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning", Sensors (Q1, IF: 3.576), MDPI, 2023
- 13. Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider; "Parallel CNN-ELM: A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19", Expert Systems with Applications (Elsevier (IF 8.5)), 2023
- 14. Hasibul Islam Peyal, Md Nahiduzzaman, Md Abu Hanif Pramanik, Md Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad EH Chowdhury; "Plant Disease Classifier: Detection of Dual-Crop Diseases using Lightweight 2D CNN Architecture", IEEE Access (Q1, IF: 3.367), 2023
- 15. Md. Nahiduzzaman et al.; "Detection of Various Lung Diseases including COVID-19 Using Extreme Learning Machine Algorithm Based on the Features Extracted from a Lightweight CNN Architecture", Elsevier (Biocybernetics and Biomedical Engineering (Q1, IF: 6.4)), 2023
- 16. Md. Faysal Ahmed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury; "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques", Sensors (Q1, IF: 3.9), MDPI, 2023
- 17. Amith Khandakar; Md. Nahiduzzaman; Rusab Sarmun; Md Ahsan Atick Faisal; Mohammad Kaoser Alam; Tawsifur Rahman; Nasser Al-Emadi; Mohamed Arselene Ayari; Muhammad E. H. Chowdhury; "Deep Learning-based Real-time Detection and Classification of Tomato Ripeness Stages using YOLOv8 on Raspberry Pi", International Journal of Machine Learning and Cybernetics (Q1, Springer) (Submitted), 2023
- 18. Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider; "Explainable Transformer-based Deep Learning Model for the Detection of Malaria Parasite from the Blood Cell-Images", Sensors (Q1, IF: 3.9), MDPI, 2022
- 19. Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal, S. M. Riazul Islam, Md Nahiduzzaman, Md. Robiul Islam, Md. Shamim Anower, Kyung-Sup Kwak; "Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator", IEEE Access (Q1, IF: 3.367), 2022
- 20. Md. Nahiduzzaman, Md. Rabiul Islam and Rakibul Hassan; "ChestX-Ray6: Prediction Of Multiple Diseases Including COVID-19 From Chest X-ray Images Using Convolutional Neural Network", Expert Systems with Applications (Elsevier, Q1, IF: 8.5), 2022
- 21. Hafsa Binte Kibria *, Md Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider *; "An Ensemble Approach for Prediction of Diabetes Mellitus using Soft Voting Classifier with Explainable AI", Sensors (Q1, IF: 3.9), MDPI, 2022
- 22. Saleh Mohammed Shahriar *, Erphan A. Bhuiyan, Md Nahiduzzaman, Mominul Ahsan, Julfikar Haider *; "State of Charge Estimation for EV Battery Management Systems using Hybrid Recurrent Learning Approach with Explainable AI", Energies (MDPI (Q1, IF: 3.252)), 2022
- 23. Md. Robiul Islam, Md. Nahiduzzaman; "Complex Features Extraction with Deep Learning Model for the Detection of COVID19 from CT Scan Images Using Ensemble Based Machine Learning Approach", Expert Systems with Applications (Q1, IF: 8.5), 2022
- 24. Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski; "Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images", Computers in Biology and Medicine (Q1, IF: 7.7), 2022
- 25. Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, S M Muyeen, Innocent Kamwa; "Integration of Machine Learning with Economic Energy Scheduling", International Journal of Electrical Power and Energy Systems (Q1, IF: 5.5), 2022
- 26. Md Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md. Rakibul Islam; "A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images", IEEE Access (Q1, IF: 3.367), 2021
- 27. Md Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Kyung-Sup Kwak; "Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm", IEEE Access (Q1, IF: 3.367), 2021
- 28. Md. Robiul Islam, Md. Nahid Hasan, Md. Nahiduzzaman; "Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network", IJISRT, 2020
Conference Papers (2)
- 1. Saleh Mohammed Shahriar, Hasibul Islam Peyal, Md Nahiduzzaman, Md Abu Hanif Pramanik; "An IoT-Based Real-Time Intelligent Irrigation System using Machine Learning", ICTS, 2021
- 2. Md. Nahiduzzaman, Md. Julker Nayeem, Md. Toukir Ahmed, Md. Shahid Uz Zaman; "Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine", IEEE, 2020