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ORCIDMd. Nahiduzzaman
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Journal Articles
- 2024
[j24]Md. Faysal Ahamed
, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar:
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. IEEE Access 12: 78074-78100 (2024)- [j23]Abdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid, Md. Nahiduzzaman, Muhammad E. H. Chowdhury:
Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application. IEEE Access 12: 83575-83588 (2024) - [j22]Mohammad Asif Hasan, Fariha Haque, Tonmoy Roy, Mahedi Islam, Md. Nahiduzzaman, Mohammad Mahedi Hasan, Mominul Ahsan, Julfikar Haider:
Prediction of fetal brain gestational age using multihead attention with Xception. Comput. Biol. Medicine 182: 109155 (2024) - [j21]Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari, Azad Ibn Ashraf, Lino Korah, Alhareth Zyoud, Hassan Ali, Ahmed Badawi:
Smart aquaponics: An innovative machine learning framework for fish farming optimization. Comput. Electr. Eng. 119: 109590 (2024) - [j20]Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam:
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. 248: 123392 (2024) - [j19]Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider:
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. Expert Syst. Appl. 256: 124908 (2024) - [j18]Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan:
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. Hum. Centric Intell. Syst. 4(2): 299-315 (2024) - [j17]Md. Jawadul Karim, Md. Nahiduzzaman, Mominul Ahsan, Julfikar Haider:
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. 300: 112204 (2024) - [j16]Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, M. Abdullah-Al-Wadud, S. M. Riazul Islam:
Streamlining plant disease diagnosis with convolutional neural networks and edge devices. Neural Comput. Appl. 36(29): 18445-18477 (2024) - 2023
- [j15]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 11: 4117-4130 (2023) - [j14]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:
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture. IEEE Access 11: 110627-110643 (2023) - [j13]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. Comput. Medical Imaging Graph. 110: 102313 (2023) - [j12]Md. Nahiduzzaman, Md. Rabiul Islam, Rakibul Hassan:
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network. Expert Syst. Appl. 211: 118576 (2023) - [j11]Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski:
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier. Expert Syst. Appl. 217: 119557 (2023) - [j10]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:
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19. Expert Syst. Appl. 229(Part A): 120528 (2023) - [j9]Md. Ahsan Kabir, Yu Liping, Sanjoy Kumar Sarker, Md. Nahiduzzaman, Tanmay Borman:
Portfolio optimization and valuation capability of multi-factor models: an observational evidence from Dhaka stock exchange. Frontiers Appl. Math. Stat. 9 (2023) - [j8]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:
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors 23(9): 4458 (2023) - [j7]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:
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors 23(18): 7724 (2023) - 2022
- [j6]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. Comput. Biol. Medicine 146: 105602 (2022) - [j5]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 Syst. Appl. 195: 116554 (2022) - [j4]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 Parasites from Blood Cell Images. Sensors 22(12): 4358 (2022) - [j3]Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Mominul Ahsan, Julfikar Haider:
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI. Sensors 22(19): 7268 (2022) - 2021
- [j2]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 CXR Images. IEEE Access 9: 147512-147526 (2021) - [j1]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 9: 152261-152274 (2021)
Conference and Workshop Papers
- 2022
- [c2]Md. Nahiduzzaman, M. Shamim Kaiser, Muhammad R. Ahmed, Marzia Hoque Tania:
An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control. TCCE 2022: 309-319 - 2020
- [c1]Md. Nahiduzzaman, Moumitu Tasnim, Nishat Tasnim Newaz, M. Shamim Kaiser, Mufti Mahmud:
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion. BI 2020: 204-214
Coauthor Index
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