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Md. Nahiduzzaman
Observed names:
Md Nahiduzzaman,
Nahiduzzaman, Md.
Institutions:
Rajshahi University of Engineering and Technology,
Military Institute of Science and Technology,
RMIT University
Observed institutions:
Rajshahi University of Engineering and Technology,
Military Institute of Science and Technology,
Jahangirnagar University,
Qatar University,
RMIT University
ORCID:
0000-0003-4126-0389
Observed ORCIDs:
0000-0003-4126-0389,
0000-0003-3837-6911
OpenAlex ID:
A5082978562
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
2022
·
Md Robiul Islam
, Lway Faisal Abdulrazak
, et al.
·
Computers in Biology and Medicine
·
191
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
2023
·
Md. Faysal Ahamed
, Md. Munawar Hossain
, et al.
·
Computerized Medical Imaging and Graphics
·
174
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
2022
·
Hafsa Binte Kibria
, Md Nahiduzzaman
, et al.
·
Sensors
·
157
PDF
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
2023
·
Md. Nahiduzzaman
, Md. Robiul Islam
, et al.
·
Expert Systems with Applications
·
152
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
2022
·
Md. Robiul Islam
, Md. Nahiduzzaman
·
Expert Systems with Applications
·
128
PDF
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
2025
·
Md. Nahiduzzaman
, Lway Faisal Abdulrazak
, et al.
·
Scientific Reports
·
106
PDF
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture
2023
·
Hasibul Islam Peyal
, Md. Nahiduzzaman
, et al.
·
IEEE Access
·
103
PDF
Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine
2023
·
Md.Omaer Faruq Goni
, Md. Nahiduzzaman
, et al.
·
e-Prime - Advances in Electrical Engineering Electronics and Energy
·
102
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
2024
·
Md. Faysal Ahamed
, Md. Nahiduzzaman
, et al.
·
Expert Systems with Applications
·
99
Explainable deep learning model for automatic mulberry leaf disease classification
2023
·
Md. Nahiduzzaman
, Muhammad E. H. Chowdhury
, et al.
·
Frontiers in Plant Science
·
93
PDF
An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability
2025
·
Md. Nahiduzzaman
, Md. Faysal Ahamed
, et al.
·
Knowledge-Based Systems
·
92
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm
2021
·
Md. Nahiduzzaman
, Md. Robiul Islam
, et al.
·
IEEE Access
·
91
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
2023
·
Md. Nahiduzzaman
, Md. Omaer Faruq Goni
, et al.
·
Expert Systems with Applications
·
80
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images
2022
·
Md. Robiul Islam
, Md. Nahiduzzaman
, et al.
·
Sensors
·
79
PDF
A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images
2021
·
Md. Nahiduzzaman
, Md. Omaer Faruq Goni
, et al.
·
IEEE Access
·
79
PDF
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion
2020
·
Md. Nahiduzzaman
, Moumitu Tasnim
, et al.
·
Lecture notes in computer science
·
78
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
2024
·
Md. Nahiduzzaman
, Lway Faisal Abdulrazak
, et al.
·
Expert Systems with Applications
·
67
State of Charge Estimation for Electric Vehicle Battery Management Systems Using the Hybrid Recurrent Learning Approach with Explainable Artificial Intelligence
2022
·
Saleh Mohammed Shahriar
, Erphan A. Bhuiyan
, et al.
·
Energies
·
67
PDF
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
2022
·
Md. Nahiduzzaman
, Md. Rabiul Islam
, et al.
·
Expert Systems with Applications
·
65
PDF
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI
2024
·
Md. Faysal Ahamed
, Md. Rabiul Islam
, et al.
·
IEEE Access
·
63
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI
2024
·
Md. Faysal Ahamed
, Fariya Bintay Shafi
, et al.
·
Computers in Biology and Medicine
·
55
CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization
2024
·
Reazul Hasan Prince
, Abdul Al Mamun
, et al.
·
Frontiers in Plant Science
·
52
Improving Malaria diagnosis through interpretable customized CNNs architectures
2025
·
Md. Faysal Ahamed
, Md Nahiduzzaman
, et al.
·
Scientific Reports
·
51
Prediction of Heart Disease Using Multi-Layer Perceptron Neural Network and Support Vector Machine
2019
·
Md. Nahiduzzaman
, Md. Julker Nayeem
, et al.
·
International Conference on Electrical Information and Communication Technology (EICT)
·
49
Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application
2024
·
Abdus Salam
, Mansura Naznine
, et al.
·
IEEE Access
·
48
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Works count:
62
Citation count:
2,877
H-index:
32
I10-index:
44
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