has been cited by the following article(s):
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[1]
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Unsupervised machine learning via Hidden Markov Models for accurate clustering of plant stress levels based on imaged chlorophyll fluorescence profiles & their rate of change in time
Computers and Electronics in Agriculture,
2020
DOI:10.1016/j.compag.2019.105064
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[2]
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An efficient heart murmur recognition and cardiovascular disorders classification system
Australasian Physical & Engineering Sciences in Medicine,
2019
DOI:10.1007/s13246-019-00778-x
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[3]
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Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
Microscopy Research and Technique,
2018
DOI:10.1002/jemt.22998
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[4]
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Supervised machine learning via Hidden Markov Models for accurate classification of plant stress levels & types based on imaged Chlorophyll fluorescence profiles & their rate of change in time
2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA),
2017
DOI:10.1109/CIVEMSA.2017.7995328
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