Cooper, J. , Taylor, W. , Imran, M. and Abbasi, Q. (2024) Smart Fatigue Monitoring using RF Sensing Employing a Deep Learning Convolutional Neural Network. In: 2024 IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, 14-19 July 2024, (Accepted for Publication)
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323687.pdf - Accepted Version Restricted to Repository staff only 141kB |
Item Type: | Conference Proceedings |
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Additional Information: | This work was supported in parts by Engineering and Physical Sciences Research Council (EPSRC) grants EP/T021020/1 and EP/W003228/1. |
Status: | Accepted for Publication |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad and Cooper, Professor Jonathan and Abbasi, Professor Qammer and Taylor, William |
Authors: | Cooper, J., Taylor, W., Imran, M., and Abbasi, Q. |
College/School: | College of Science and Engineering 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 > Biomedical Engineering |
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