Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mohammud Junaid Bocus"'
Autor:
Karl Woodbridge, Mohammud Junaid Bocus, Kevin Chetty, Wenda Li, Chong Tang, Robert J. Piechocki
Publikováno v:
IEEE Transactions on Wireless Communications. 21:607-620
The use of Wi-Fi signals for human sensing has gained significant interest over the past decade. Such techniques provide affordable and reliable solutions for healthcare-focused events such as vital sign detection, prevention of falls and long-term m
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031187346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3670eb02b50bc507e8fc3c66c9730e1c
https://doi.org/10.1007/978-3-031-18735-3_2
https://doi.org/10.1007/978-3-031-18735-3_2
Autor:
Rui Fan, Yikang Zhang, Sicen Guo, Jiahang Li, Yi Feng, Shuai Su, Yanting Zhang, Wenshuo Wang, Yu Jiang, Mohammud Junaid Bocus, Xingyi Zhu, Qijun Chen
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Intelligent Systems in Digital Transformation ISBN: 9783031165979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e575c22fa1bd8704efa01c79e7d0d0bf
https://doi.org/10.1007/978-3-031-16598-6_22
https://doi.org/10.1007/978-3-031-16598-6_22
Publikováno v:
IET Communications. 14:588-593
In this study, multi-user (MU) underwater acoustic communication is investigated using massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM)-based orthogonal time frequency space modulation (OTFS) systems. Th
Autor:
Sergey Vityazev, Rigen Wu, Mohammud Junaid Bocus, Rui Fan, Jiahe Fan, Brett Hosking, Yanan Liu
This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural network. A channel attention module then reweighs the channel feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::429692fb59dc2a507f069a3b457a1aab
http://arxiv.org/abs/2112.13082
http://arxiv.org/abs/2112.13082
Publikováno v:
2021 IEEE International Conference on Imaging Systems and Techniques (IST).
Publikováno v:
Bocus, M J, Chetty, K & Piechocki, R J 2021, UWB and WiFi Systems as Passive Opportunistic Activity Sensing Radars . in 2021 IEEE Radar Conference : Proceedings of a meeting held 10-14 May 2021, Atlanta, GA, USA ., 9455175, IEEE National Radar Conference-Proceedings, vol. 2021-May, Institute of Electrical and Electronics Engineers (IEEE), 2021 IEEE Radar Conference, 10/05/21 . https://doi.org/10.1109/RadarConf2147009.2021.9455175
Human Activity Recognition (HAR) is becoming increasingly important in smart homes and healthcare applications such as assisted-living and remote health monitoring. In this paper, we use Ultra-Wideband (UWB) and commodity WiFi systems for the passive
Autor:
Kevin Chetty, Wenda Li, Mohammud Junaid Bocus, Robert J. Piechocki, Jonas Paulavicius, Raul Santos-Rodriguez, Ryan McConville
Publikováno v:
ICPR
Passive wireless sensing using WiFi signals has become a very active area of research over the past few years. Such techniques provide a cost-effective and non-intrusive solution for human activity sensing especially in healthcare applications. One o
Autor:
Mohammud Junaid Bocus, Raul Santos-Rodriguez, Jonas Paulavicius, Robert J. Piechocki, Ryan McConville
Publikováno v:
GLOBECOM
Wireless localisation is becoming increasingly important in various applications such as smart homes, elderly healthcare facilities and in industry where centimetre (cm) level localisation accuracy is desired. Ultra-wideband (UWB) systems can be used