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Wang, Shenglin, Zhu, Shifan, Shang, Zhen (2023) A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals. Applied Sciences, 13 (2) 923 doi:10.3390/app13020923

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Reference TypeJournal (article/letter/editorial)
TitleA Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals
JournalApplied Sciences
AuthorsWang, ShenglinAuthor
Zhu, ShifanAuthor
Shang, ZhenAuthor
Year2023 (January 9)Volume13
Issue2
PublisherMDPI AG
DOIdoi:10.3390/app13020923Search in ResearchGate
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Mindat Ref. ID15654860Long-form Identifiermindat:1:5:15654860:3
GUID0
Full ReferenceWang, Shenglin, Zhu, Shifan, Shang, Zhen (2023) A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals. Applied Sciences, 13 (2) 923 doi:10.3390/app13020923
Plain TextWang, Shenglin, Zhu, Shifan, Shang, Zhen (2023) A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals. Applied Sciences, 13 (2) 923 doi:10.3390/app13020923
In(2023, January) Applied Sciences Vol. 13 (2) MDPI AG

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