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 (18)
- 1. 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
- 2. 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: 8.665), 2023
- 3. 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 (Submitted), 2023
- 4. 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 (Under Review), 2023
- 5. Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider; "A Multiclass Classification of Chest X-Ray Images to Identify Seventeen Lung Diseases Including COVID-19 Expert Systems With Applications", Expert Systems with Applications (Elsevier (IF 8.66)) (Revision Submitted), 2023
- 6. Hasibul Islam Peyal, Md Nahiduzzaman, et al.; "Plant Disease Classifier: Detection of Multi-crop Diseases Using Lightweight CNN Architecture", Information Processing in Agriculture (Under Review), 2023
- 7. 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 (Under Review), 2023
- 8. 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: 3.847), MDPI, 2022
- 9. 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
- 10. 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: 8.665), 2022
- 11. 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: 3.847), MDPI, 2022
- 12. 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)), 2022
- 13. 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: 8.665), 2022
- 14. 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: 6.698), 2022
- 15. 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: 5.569), 2022
- 16. 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
- 17. 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
- 18. 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