Md. Omaer Faruq Goni

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman et al. · Computers in Biology and Medicine · 2022 · 147 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +24

Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni et al. · Expert Systems with Applications · 2023 · 117 citations · Full text

Convolutional Neural Network, Engineering, Feature Detection +21

An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI

Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni et al. · Sensors · 2022 · 110 citations · Full text

Engineering, Machine Learning, Ensemble Approach +22

Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam et al. · IEEE Access · 2021 · 71 citations · Full text

Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine

Md. Omaer Faruq Goni, Md. Nahiduzzaman, Md. Shamim Anower et al. · e-Prime - Advances in Electrical Engineering Electronics and Energy · 2023 · 71 citations · Full text

Transmission Lines, Fault Diagnosis, Reliability Engineering +15