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ORCIDMd. Nahiduzzaman
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 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) - [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 - 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) - 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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last updated on 2024-10-08 21:29 CEST by the dblp team
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