Advanced sensing techniques for intelligent human activity recognition using machine learning

Shah, S. A. , Abbasi, Q. H. , Ahmad, J. and Imran, M. A. (2023) Advanced sensing techniques for intelligent human activity recognition using machine learning. Electronics, 12(19), 3990. (doi: 10.3390/electronics12193990)

[img] Text
306969.pdf - Published Version
Available under License Creative Commons Attribution.

208kB

Abstract

No abstract available.

Item Type:Articles (Editorial)
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Abbasi, Professor Qammer and Shah, Mr Syed
Authors: Shah, S. A., Abbasi, Q. H., Ahmad, J., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Electronics
Publisher:MDPI
ISSN:2079-9292
ISSN (Online):2079-9292
Published Online:22 September 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Electronics 12(19): 3990
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record