AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design
Convolutional neural networks (CNNs) have demonstrated exceptional results in the analysis of time- series data when used for Human Activity Recognition (HAR). The manual design of such neural architectures is an error-prone and time-consuming process. The search for optimal CNN architectures is con...
Main Authors: | Walaa N. Ismail, Hessah A. Alsalamah, Mohammad Mehedi Hassan, Ebtesam Mohamed |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-02-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023008435 |
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