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A NOVEL DEEP LEARNING-BASED CLASSIFICATION APPROACH FOR THE DETECTION OF HEART ARRHYTHMIAS FROM THE ELECTROCARDIOGRAPHY SIGNAL.

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Title: A NOVEL DEEP LEARNING-BASED CLASSIFICATION APPROACH FOR THE DETECTION OF HEART ARRHYTHMIAS FROM THE ELECTROCARDIOGRAPHY SIGNAL.
Authors: KHAN QURESHI, ABDUL RAZZAK1, dr.arqureshi786@gmail.com, PATIL, GOVINDA1, patil.govinda1976@gmail.com, BHATT, RUBY1, profrubybhatt15@gmail.com, MOGHE, CHHAYA2, ckapse06@gmail.com, PAL, HEMANT1, hemantpal.scs@gmail.com, TATAWAT, CHANDRESH3, tatawatchandresh99@gmail.com
Source: Scalable Computing: Practice & Experience; Jan2025, Vol. 26 Issue 1, p371-387, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A NOVEL DEEP LEARNING-BASED CLASSIFICATION APPROACH FOR THE DETECTION OF HEART ARRHYTHMIAS FROM THE ELECTROCARDIOGRAPHY SIGNAL.
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        Value: 10.12694/scpe.v26i1.3638
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        Text: English
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      – TitleFull: A NOVEL DEEP LEARNING-BASED CLASSIFICATION APPROACH FOR THE DETECTION OF HEART ARRHYTHMIAS FROM THE ELECTROCARDIOGRAPHY SIGNAL.
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              Text: Jan2025
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