S. Senthil Kumaran

According to our database, S. Senthil Kumaran authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Mechanisms of 1 Hz Inhibitory and 5 Hz Excitatory Repetitive Transcranial Magnetic Stimulations in Parkinson's Disease: A Functional Magnetic Resonance Imaging Study.

Priyanka Bhat, Vinay Goyal, S. Senthil Kumaran, Achal Kumar Srivastava, Madhuri Behari, Sada Nand Dwivedi

Brain Connect., May, 2023

IoT Capabilities Analysis by Using Optimized Machine Learning with Uncertain Traffic Modeling.

S. Senthil Kumaran, S. P. Balakannan

J. Uncertain Syst., March, 2023

Sensor cloud virtualisation systems for improving performance of IoT-based WSN.

S. Senthil Kumaran, S. P. Balakannan

Int. J. Wirel. Mob. Comput., 2023

2022

A deep analysis of object capabilities for intelligence considering wireless IoT devices with the DNN approach.

S. Senthil Kumaran, S. P. Balakannan, Jun Li

J. Supercomput., 2022

2021

Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12).

Snigdha Agrawal, S. Senthil Kumaran, Achal Kumar Srivastava, Ramesh Kumar Agrawal, Manpreet Kaur Narang

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2017

Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI.

Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal

Biomed. Signal Process. Control., 2017

2016

Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI.

Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015

Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI.

Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal

Int. J. Imaging Syst. Technol., 2015

A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease.

Namita Aggarwal, Bharti Rana, R. K. Agrawal, S. Senthil Kumaran

Int. J. Bioinform. Res. Appl., 2015

Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI.

Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari

Expert Syst. Appl., 2015