Random Search One Dimensional CNN for Human Activity Recognition

Due to its wide application, human activity recognition (HAR) has become a common subject for research specially with the development of deep learning. Many researchers believe that deep convolutional neural networks (DCNN) are ideal for feature extraction from signal inputs. This has gained widespr...

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Bibliographic Details
Main Authors: Ragab, M.G., Abdulkadir, S.J., Aziz, N.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097527406&doi=10.1109%2fICCI51257.2020.9247810&partnerID=40&md5=7762fae795581ecdd347722b0cc00e80
http://eprints.utp.edu.my/29866/
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Institution: Universiti Teknologi Petronas