A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection-Reference-Cited by-同舟云学术

A novel optimized parametric hyperbolic tangent swish activation function for 1D-CNN: application of sensor-based human activity recognition and anomaly detection

Published:2023-05-26 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ankalaki Shilpa^ORCID,Thippeswamy M. N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15766-3.pdf

Reference61 articles.

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3. Alaghbari KA, Mohamad Hanif M, Saad AH, Alam MR (2022) Activities recognition, anomaly detection and next activity prediction based on neural networks in smart homes. IEEE Access 10:28219–28232

4. Alshammari T, Alshammari N, Sedky M, Howard C (2018) SIMADL: simulated activities of daily living dataset. Data 3(2):1–13

5. Anagun Y, Isik S (2022) Nish: a novel negative stimulated hybrid activation function. ArXiv, abs/2210.09083. https://doi.org/10.48550/arXiv.2210.09083

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