R. Murugan

Orcid: 0000-0002-9341-3810

According to our database1, R. Murugan authored at least 29 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Smart soil image classification system using lightweight convolutional neural network.
Expert Syst. Appl., March, 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

An efficient dehazing method of single image using multi-scale fusion technique.
J. Ambient Intell. Humaniz. Comput., July, 2023

DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images.
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

An efficient microaneurysms detection approach in retinal fundus images.
Int. J. Mach. Learn. Cybern., April, 2023

Retinal Detachment Dataset.
Dataset, February, 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

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier.
CoRR, 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

An Automatic Classification Methods in Oral Cancer Detection.
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
An abnormality detection of retinal fundus images by deep convolutional neural networks.
Multim. Tools Appl., 2020

Classifier for Face Recognition Based on Deep Convolutional - Optimized Kernel Extreme Learning Machine.
Comput. Electr. Eng., 2020

2018
Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch.
Appl. Soft Comput., 2018

2012
Detection of Optic Disc by Line Filter Operator Approach in Retinal Images.
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


  Loading...