An effective hybrid optimal deep learning approach using BI-LSTM and restricted Boltzmann machines whale optimization to detect arrhythmia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00350-x.pdf
Reference54 articles.
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3. Al Rahhal MM, Bazi Y, AlHichri H, Alajlan N, Melgani F, Yager RR (2016) Deep learning approach for active classification of electrocardiogram signals. Inf Sci. 345:340–354
4. Atal DK, Singh M (2020) Arrhythmia classification with ECG signals based on the optimization-enabled deep convolutional neural network. Comp Methods Prog Biomed 196:105607
5. Bengio Y (2009) Learning deep architectures for AI. Found Trends Mach Learn 2(1):1–127
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