Yatindra Kumar

According to our database, Yatindra Kumar authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Infrared small target detection based on Bi-Nuclear norm minimization.

Sur Singh Rawat, Shashi Kant Verma, Yatindra Kumar

Multim. Tools Appl., April, 2024

2022

An ECG classification using DNN classifier with modified pigeon inspired optimizer.

Ashish Nainwal, Yatindra Kumar, Bhola Jha

Multim. Tools Appl., 2022

Arrhythmia classification based on improved monarch butterfly optimization algorithm.

Ashish Nainwal, Yatindra Kumar, Bhola Jha

J. King Saud Univ. Comput. Inf. Sci., 2022

2021

Infrared small target detection based on non-convex triple tensor factorisation.

Sur Singh Rawat, Sashi Kant Verma, Yatindra Kumar

IET Image Process., 2021

2020

Reweighted infrared patch image model for small target detection based on non-convex <i>ℒp-</i>norm minimisation and TV regularisation.

Sur Singh Rawat, Sashi Kant Verma, Yatindra Kumar

IET Image Process., 2020

2017

MLPNN and kNN Based Classification of sEMG Signal for Myoelectric Control of Upper Limb Prosthesis.

Sachin Negi, Yatindra Kumar, V. M. Mishra

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

Comparative Study of Tachyarrhythmia ECG and Normal ECG.

Ashish Nainwal, Yatindra Kumar, Bhola Jha

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

Cardiac arrhythmia detection in ECG signals by feature Extraction and support vector machine.

Gorav Kumar Malik, Yatindra Kumar, Manoj Panda

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, 2017

2014

Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network.

Yatindra Kumar, M. L. Dewal, R. S. Anand

Signal Image Video Process., 2014

Epileptic seizure detection using DWT based fuzzy approximate entropy and support vector machine.

Yatindra Kumar, M. L. Dewal, R. S. Anand

Neurocomputing, 2014