VR
Vinoth Rathinam
P.S.R. Engineering College, St.Anns College of Engineering and Technology, Mahendra Engineering College
Research areas: Computer Science · Computer Vision and Pattern Recognition · Medical Image Segmentation Techniques · AI in cancer detection · Advanced Neural Network Applications
0000-0002-4913-3387
Employment
-
P.S.R. Engineering College Associate Professor2018 - Present
-
St.Anns College of Engineering and Technology Associate Professor2017 - 2018
-
Mahendra Engineering College Assistant Professor2015 - 2017
-
Muthayammal College of Engineering Assistant Professor2012 - 2015
-
SRS College of Engineering and Technology Assistant Professor2011 - 2012
-
CMS College of Engineering Assistant Professor2009 - 2011
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (44)
- Design of a Fault Tolerance System for Industrial Controllers Utilizing Fractional Ensemble Learning Save
- A Hybrid Quantum-Inspired Deep Learning Framework with Bio-Inspired Optimization for Cardiovascular Disease Prediction Save
- An AI-Driven Smart Language Translation System based on NLP and Deep Learning Models Save
- Enhanced breast cancer classification from mammograms using an edge-gated deep unfolding network with Greylag Goose Optimization Save
- Hybrid Deep Learning Approach for Alzheimer's Disease Classification from MRI Images Save
- Machine Learning Based Lung Cancer Detection with Multiview Images Save
- Optimized Bayesian asymmetric nutcracker quantized neural networks for area-efficient 10T2C capacitive SRAM design with reconfigurable SAR ADCs Save
- An Optimized Theory-Guided CNN Framework with Siberian Tiger Algorithm for Breast Cancer Image Analysis Save
- Tri-level lung cancer classification via deep learning based GoogleNet with computed tomography images Save
- A unique YOLO-based gated attention deep convolution network-Lichtenberg optimization algorithm model for a precise breast cancer segmentation and classification Save
- An eccentric Iter Net-based Improved Intelligent Water Drop (I2WD) feature selection and Discriminated Multi-Instance Classification (DMIC) models for diabetic retinopathy detection Save
- Greenshift: converting industrial and vehicular emissions into sustainable carbon outputs Save
- High temperature oxidation mitigation efficacy of Al2O3 and Ni-20Cr ceramic coating on boiler steel application Save
- Machine learning assisted chitin Extraction: Source and yield prediction from crustacean biomass using deep eutectic solvents Save
- S3-GHOSTNET: skin disease detection via Sand Cat Swarm Optimization deep GHOSTNET with facial images Save
- An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net Save
- An enhanced multifunctional chitosan-based active packaging film reinforced with cinnamon essential oil encapsulating onion peel anthocyanins Save
- Arsenic and Environment: A Systematic Review on Arsenic Sources, Uptake Mechanism in Plants, Health Hazards and Remediation Strategies Save
- Epicardial Fat Segmentation Using Pyramid Neural Network: An Automated Approach for Cardiovascular Risk Assessment Save
- Hybrid photovoltaic/thermal performance prediction based on machine learning algorithms with hyper-parameter tuning Save