Low complexity and accurate Machine learning model for waterborne pathogen classification using only three handcrafted features from optofluidic images.
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%0 Journal Article
%1 journals/bspc/LuoSLYLR22
%A Luo, Jiawen
%A Ser, W.
%A Liu, A.
%A Yap, Peng Huat
%A Liedberg, B.
%A Rayatpisheh, S.
%D 2022
%J Biomed. Signal Process. Control.
%K dblp
%P 103821
%T Low complexity and accurate Machine learning model for waterborne pathogen classification using only three handcrafted features from optofluidic images.
%U http://dblp.uni-trier.de/db/journals/bspc/bspc77.html#LuoSLYLR22
%V 77
@article{journals/bspc/LuoSLYLR22,
added-at = {2022-08-30T00:00:00.000+0200},
author = {Luo, Jiawen and Ser, W. and Liu, A. and Yap, Peng Huat and Liedberg, B. and Rayatpisheh, S.},
biburl = {https://www.bibsonomy.org/bibtex/248798a127bfd5743d001dae0d84b142e/dblp},
ee = {https://doi.org/10.1016/j.bspc.2022.103821},
interhash = {314c59ea16a6398eff48bd8e0b7c32ce},
intrahash = {48798a127bfd5743d001dae0d84b142e},
journal = {Biomed. Signal Process. Control.},
keywords = {dblp},
pages = 103821,
timestamp = {2024-04-09T02:27:35.000+0200},
title = {Low complexity and accurate Machine learning model for waterborne pathogen classification using only three handcrafted features from optofluidic images.},
url = {http://dblp.uni-trier.de/db/journals/bspc/bspc77.html#LuoSLYLR22},
volume = 77,
year = 2022
}