Energy efficient convolutional neural networks for arrhythmia detection. Katsaouni, N., Aul, F., Krischker, L., Schmalhofer, S., Hedrich, L., & Schulz, M. H. Array, 13:100127, March, 2022.
Energy efficient convolutional neural networks for arrhythmia detection [link]Paper  doi  bibtex   1 download  
@article{katsaouni_energy_2022,
	title = {Energy efficient convolutional neural networks for arrhythmia detection},
	volume = {13},
	issn = {25900056},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S2590005622000017},
	doi = {10.1016/j.array.2022.100127},
	language = {en},
	urldate = {2023-01-09},
	journal = {Array},
	author = {Katsaouni, Nikoletta and Aul, Florian and Krischker, Lukas and Schmalhofer, Sascha and Hedrich, Lars and Schulz, Marcel H.},
	month = mar,
	year = {2022},
	pages = {100127},
	file = {Volltext:/Users/mschulz/Zotero/storage/5Z4VA8DS/Katsaouni et al. - 2022 - Energy efficient convolutional neural networks for.pdf:application/pdf},
}

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