Md. Nahiduzzaman

39 papers Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Sensor Bushfire Detection Using Supervised Domain Adaptation. IEEE Access Md. Farhan Shakib, Md. Shahid Uz Zaman, Md. Al Mamun, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Azmain Yakin Srizon, A. F. M. Minhazur Rahman
2025	J	`jnl`	A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI. IEEE Access Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury
2025	J	`jnl`	An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. Knowl. Based Syst. Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider
2025	J	`jnl`	Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. Comput. Electr. Eng. Amith Khandakar, Azad Ibn Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, Philips Michael, Md. Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz, Maryam Abdulla R. A. Al-Mansoori, Farah Khattab
2025	J	`jnl`	Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review. Biomed. Signal Process. Control. Md. Rakibul Islam, Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Mominul Ahsan
2025	J	`jnl`	Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh. Neural Comput. Appl. Md Safayet Islam, Md Shafiuzzaman, Golam Mahmud, Nabila Nowshin, Parisa Reza, Jahid Hasan, Md. Faysal Ahamed, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar
2025	J	`jnl`	GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization. CoRR Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria, Md. Nahiduzzaman, Julfikar Haider, Muhammad E. H. Chowdhury, Mohammad Tariqul Islam
2025	J	`jnl`	Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. Comput. Biol. Medicine Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar
2025	J	`jnl`	PLDs-CNN-ridge-ELM: Interpretable lightweight waste classification framework. Eng. Appl. Artif. Intell. Mansura Naznine, Md. Nahiduzzaman, Md. Jawadul Karim, Md. Faysal Ahamed, Abdus Salam, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider
2024	J	`jnl`	A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP). Expert Syst. Appl. Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam
2024	J	`jnl`	Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. Hum. Centric Intell. Syst. Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan
2024	J	`jnl`	Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. IEEE Access Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar
2024	J	`jnl`	Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. Expert Syst. Appl. Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider
2024	J	`jnl`	Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device. Knowl. Based Syst. Md. Jawadul Karim, Md. Nahiduzzaman, Mominul Ahsan, Julfikar Haider
2024	J	`jnl`	Embedded System-Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model. Int. J. Imaging Syst. Technol. Abdus Salam, S. M. Nahid Hasan, Md. Jawadul Karim, Shamim Anower, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, M. Murugappan
2024	—	`conf`	FASTEN: Towards a FAult-Tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication. CCNC Sabbir Ahmed, Md. Nahiduzzaman, Tariqul Islam, Faisal Haque Bappy, Tarannum Shaila Zaman, Raiful Hasan
2024	J	`jnl`	Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. CoRR Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider
2024	J	`jnl`	Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application. IEEE Access Abdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid, Md. Nahiduzzaman, Muhammad E. H. Chowdhury
2024	J	`jnl`	Prediction of fetal brain gestational age using multihead attention with Xception. Comput. Biol. Medicine Mohammad Asif Hasan, Fariha Haque, Tonmoy Roy, Mahedi Islam, Md. Nahiduzzaman, Mohammad Mahedi Hasan, Mominul Ahsan, Julfikar Haider
2024	J	`jnl`	Smart aquaponics: An innovative machine learning framework for fish farming optimization. Comput. Electr. Eng. Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari, Azad Ibn Ashraf, Lino Korah, Alhareth Zyoud, Hassan Ali, Ahmed Badawi
2024	J	`jnl`	Streamlining plant disease diagnosis with convolutional neural networks and edge devices. Neural Comput. Appl. Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, Mohammad Abdullah-Al-Wadud, S. M. Riazul Islam
2023	J	`jnl`	A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors Abida Sultana, Md. Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohamed Arselene Ayari, Mominul Ahsan, Julfikar Haider
2023	J	`jnl`	A review on brain tumor segmentation based on deep learning methods with federated learning techniques. Comput. Medical Imaging Graph. Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider
2023	J	`jnl`	ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network. Expert Syst. Appl. Md. Nahiduzzaman, Md. Rabiul Islam, Rakibul Hassan
2023	J	`jnl`	Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier. Expert Syst. Appl. Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
2023	J	`jnl`	Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator. IEEE Access Md. Omaer Faruq Goni, Md. Nazrul Islam Mondal, S. M. Riazul Islam, Md. Nahiduzzaman, Md. Robiul Islam, Md. Shamim Anower, Kyung-Sup Kwak
2023	J	`jnl`	FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication. CoRR Sabbir Ahmed, Md. Nahiduzzaman, Tariqul Islam, Faisal Haque Bappy, Tarannum Shaila Zaman, Raiful Hasan
2023	J	`jnl`	IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury
2023	J	`jnl`	Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19. Expert Syst. Appl. Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
2023	J	`jnl`	Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture. IEEE Access Hasibul Islam Peyal, Md. Nahiduzzaman, Md. Abu Hanif Pramanik, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad E. H. Chowdhury
2023	J	`jnl`	Portfolio optimization and valuation capability of multi-factor models: an observational evidence from Dhaka stock exchange. Frontiers Appl. Math. Stat. Md. Ahsan Kabir, Yu Liping, Sanjoy Kumar Sarker, Md. Nahiduzzaman, Tanmay Borman
2022	—	`conf`	An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control. TCCE Md. Nahiduzzaman, M. Shamim Kaiser, Muhammad R. Ahmed, Marzia Hoque Tania
2022	J	`jnl`	An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI. Sensors Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider
2022	J	`jnl`	Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images. Comput. Biol. Medicine Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
2022	J	`jnl`	Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach. Expert Syst. Appl. Md. Robiul Islam, Md. Nahiduzzaman
2022	J	`jnl`	Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images. Sensors Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider
2021	J	`jnl`	A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images. IEEE Access Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md. Rakibul Islam
2021	J	`jnl`	Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm. IEEE Access Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Kyung-Sup Kwak
2020	—	`conf`	Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion. BI Md. Nahiduzzaman, Moumitu Tasnim, Nishat Tasnim Newaz, M. Shamim Kaiser, Mufti Mahmud