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Md. Omaer Faruq Goni
Md. Omaer Faruq Goni
Lecturer of Electrical & Computer Engineering, Rajshahi University of Engineering & Technology
Verified email at ece.ruet.ac.bd - Homepage
Title
Cited by
Cited by
Year
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
MR Islam, LF Abdulrazak, M Nahiduzzaman, MOF Goni, MS Anower, ...
Computers in Biology and Medicine 146, 105602, 2022
642022
A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images
M Nahiduzzaman, MOF Goni, MS Anower, MR Islam, M Ahsan, J Haider, ...
IEEE Access 9, 147512-147526, 2021
382021
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm
M Nahiduzzaman, MR Islam, SMR Islam, MOF Goni, MS Anower, ...
IEEE Access, 2021
372021
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
M Nahiduzzaman, MR Islam, MOF Goni, MS Anower, M Ahsan, J Haider, ...
Expert Systems with Applications 217, 119557, 2023
352023
An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
HB Kibria, M Nahiduzzaman, MOF Goni, M Ahsan, J Haider
Sensors 22 (19), 7268, 2022
332022
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images
MR Islam, M Nahiduzzaman, MOF Goni, A Sayeed, MS Anower, M Ahsan, ...
Sensors 22 (12), 4358, 2022
272022
Fast and accurate fault detection and classification in transmission lines using extreme learning machine
MOF Goni, M Nahiduzzaman, MS Anower, MM Rahman, MR Islam, ...
e-Prime-Advances in Electrical Engineering, Electronics and Energy 3, 100107, 2023
162023
Graduate Admission Chance Prediction Using Deep Neural Network
MOF Goni, A Matin, T Hasan, MAI Siddique, O Jyoti, FMDS Hasnain
2020 IEEE International Women in Engineering (WIE) Conference on Electrical …, 2020
142020
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
M Nahiduzzaman, MOF Goni, R Hassan, MR Islam, MK Syfullah, ...
Expert Systems with Applications, 120528, 2023
122023
Breast Cancer Detection using Deep Neural Network
MOF Goni, FMS Hasnain, MAI Siddique, O Jyoti, MH Rahaman
2020 23rd International Conference on Computer and Information Technology …, 2020
112020
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
M Nahiduzzaman, MOF Goni, MR Islam, A Sayeed, MS Anower, M Ahsan, ...
Biocybernetics and Biomedical Engineering, 2023
92023
A Comparative Analysis of Feature Extraction Methods for Human Opinion Grouping Using Several Machine Learning Techniques
T Hasan, A Matin, M Kamruzzaman, S Islam, MOF Goni
2020 IEEE International Women in Engineering (WIE) Conference on Electrical …, 2020
62020
Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
MOF Goni, MNI Mondal, SMR Islam, M Nahiduzzaman, MR Islam, ...
IEEE Access 11, 4117-4130, 2023
42023
Performance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN and KNN
M Goni, O Faruq, A Matin, T Hasan, M Sarker, R Islam
Proceedings of the International Conference on Big Data, IoT, and Machine …, 2021
42021
Integration of machine learning with economic energy scheduling
MOF Goni, M Nahiduzzaman, MS Anower, I Kamwa, SM Muyeen
International Journal of Electrical Power & Energy Systems 142, 108343, 2022
32022
Autism Spectrum Disorder Prognosis Using Machine Learning Algorithms: A Comparative Study
O Jyoti, N Islam, MO Faruq, MAI Siddique, MH Rahaman
Intelligent Computing and Optimization: Proceedings of the 3rd International …, 2021
22021
Explainable AI Based Malaria Detection Using Lightweight CNN
MOF Goni, MNI Mondal
2023 International Conference on Next-Generation Computing, IoT and Machine …, 2023
2023
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