Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/bspc/RamkumarLRM22
%A Ramkumar, M.
%A Lakshmi, A.
%A Rajasekaran, M. Pallikonda
%A Manjunathan, A.
%D 2022
%J Biomed. Signal Process. Control.
%K dblp
%P 103639
%T Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia.
%U http://dblp.uni-trier.de/db/journals/bspc/bspc76.html#RamkumarLRM22
%V 76
@article{journals/bspc/RamkumarLRM22,
added-at = {2023-10-19T00:00:00.000+0200},
author = {Ramkumar, M. and Lakshmi, A. and Rajasekaran, M. Pallikonda and Manjunathan, A.},
biburl = {https://www.bibsonomy.org/bibtex/2a5ce237305b95877f142265312a5ae7e/dblp},
ee = {https://doi.org/10.1016/j.bspc.2022.103639},
interhash = {697efc13d7e11b7ca1b28e2ceea76fbb},
intrahash = {a5ce237305b95877f142265312a5ae7e},
journal = {Biomed. Signal Process. Control.},
keywords = {dblp},
pages = 103639,
timestamp = {2024-04-09T02:28:38.000+0200},
title = {Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia.},
url = {http://dblp.uni-trier.de/db/journals/bspc/bspc76.html#RamkumarLRM22},
volume = 76,
year = 2022
}