R. Murugan
Orcid: 0000-0002-9341-3810
According to our database1,
R. Murugan
authored at least 34 papers
between 2009 and 2024.
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Bibliography
2024
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier.
Cogn. Comput., July, 2024
Cogn. Comput., July, 2024
Circuits Syst. Signal Process., June, 2024
Smart soil image classification system using lightweight convolutional neural network.
Expert Syst. Appl., March, 2024
Segmentation and visualization of Retinal Detachment lesions through Retinal fundus images.
Biomed. Signal Process. Control., 2024
Opti-EN-net: Optimized ensemble deep neural network for the classification of Retinal Detachment through fundus images.
Biomed. Signal Process. Control., 2024
An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier.
Appl. Soft Comput., 2024
2023
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.
IEEE J. Biomed. Health Informatics, October, 2023
Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review.
IEEE Trans. Cogn. Dev. Syst., September, 2023
Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier.
Multim. Tools Appl., July, 2023
J. Ambient Intell. Humaniz. Comput., July, 2023
IEEE Trans. Parallel Distributed Syst., June, 2023
Security-enhanced machine learning model for diagnosis of knee joint disorders using vibroarthrographic signals.
Soft Comput., June, 2023
Int. J. Mach. Learn. Cybern., April, 2023
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions.
J. Ambient Intell. Humaniz. Comput., 2023
Association of white matter volume with brain age classification using deep learning network and region wise analysis.
Eng. Appl. Artif. Intell., 2023
2022
MicroNet: microaneurysm detection in retinal fundus images using convolutional neural network.
Soft Comput., 2022
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features.
J. Digit. Imaging, 2022
Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease.
IEEE Multim., 2022
Robust U-Net: Development of robust image enhancement model using modified U-Net architecture.
Concurr. Comput. Pract. Exp., 2022
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans.
Appl. Soft Comput., 2022
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images.
Appl. Soft Comput., 2022
2021
Indian Regions Soil Image Database (IRSID): A dataset for classification of Indian soils.
Dataset, May, 2021
Health Informatics, 2021
E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network.
J. Ambient Intell. Humaniz. Comput., 2021
A comparative analysis between late fusion of features approach and ensemble of multiple classifiers approach for image classification.
Concurr. Comput. Pract. Exp., 2021
FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease.
Appl. Soft Comput., 2021
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.
Appl. Intell., 2021
2020
Classifier for Face Recognition Based on Deep Convolutional - Optimized Kernel Extreme Learning Machine.
Comput. Electr. Eng., 2020
An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020
2018
Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch.
Appl. Soft Comput., 2018
2012
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012
2009
Blended Learning - A Trend in e-Learning.
Proceedings of the 2009 International Conference on E-Learning, 2009