Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Jiping Xiong"'
Publikováno v:
IEEE Access, Vol 12, Pp 109886-109899 (2024)
Crop diseases and pests cause significant economic losses to agriculture every year, making accurate identification crucial. Traditional pest and disease detection relies on farm experts, which is often time-consuming. Computer vision technology and
Externí odkaz:
https://doaj.org/article/b17e5559aa8949d8be76560ca703b303
Publikováno v:
Sensors, Vol 23, Iss 12, p 5528 (2023)
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photoplethysmography (IPPG) signals is proposed to achieve accurate and convenient monitoring of human blood pressure. A camera-based non-contact human IPPG s
Externí odkaz:
https://doaj.org/article/7cb52d8f9b2242799cbe120098db7bb4
Publikováno v:
IEEE Access, Vol 9, Pp 125375-125383 (2021)
At present, the mainstream restaurant automatic pricing system realizes automatic pricing by using the object detection technology based on deep learning to locate plate and identify its category. In order to make the accuracy to reach practical appl
Externí odkaz:
https://doaj.org/article/8e02255d39fe4fe18d2af8ecc46746ef
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5528
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photoplethysmography (IPPG) signals is proposed to achieve accurate and convenient monitoring of human blood pressure. A camera-based non-contact human IPPG s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::26933727f4abbfc83cd237600a9d5d11
Publikováno v:
IEEE Access, Vol 4, Pp 3076-3086 (2016)
The intelligent wearable heart rate measurement requirement has attracted more and more attention, and the related applications of Internet of Things are emerging. However, under intensive physical exercises, motion artifacts are strong interference
Externí odkaz:
https://doaj.org/article/c16eb0a18da042bebce866245a0ea437
Publikováno v:
IEEE Access, Vol 4, Pp 5030-5037 (2016)
Sensors play a very important role in the Internet of Things. Error correction is of great significance to achieve sensor precision. Currently, accurately predicting the future dynamic measurement error is an effective way to improve sensor precision
Externí odkaz:
https://doaj.org/article/8a7db297b9b64d419cb23c87c89ef258
Autor:
Jiping Xiong1 xjping@zjnu.cn, Lisang Cai1 15268637225@139.com, Fei Wang1 18267909521@163.com, Xiaowei He1 jhhxw@zjnu.edu.cn
Publikováno v:
Sensors (14248220). Mar2017, Vol. 17 Issue 3, p506. 12p. 1 Diagram, 2 Charts, 4 Graphs.
Publikováno v:
Simulation Tools and Techniques ISBN: 9783030322151
SimuTools
SimuTools
The LEO constellation has been a valuable network framework due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide reliable computing services for accessing terminals will b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d16e13c616842ce4f66c6ec6608799
https://doi.org/10.1007/978-3-030-32216-8_13
https://doi.org/10.1007/978-3-030-32216-8_13
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 9:77-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a17782f08bf562c4ce1da5b6c0970ef
https://doi.org/10.14257/ijsip.2016.9.9.08
https://doi.org/10.14257/ijsip.2016.9.9.08
Autor:
Jiping Xiong, Qinghua Tang
Publikováno v:
Journal of Sensors, Vol 2014 (2014)
Compressive sensing (CS) has been widely used in wireless sensor networks for the purpose of reducing the data gathering communication overhead in recent years. In this paper, we firstly apply 1-bit compressive sensing to wireless sensor networks to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b0f42693ee516a2c49c7dfd770b709
https://doaj.org/article/0b7bdfba08654324b1cdbf1c884a74fe
https://doaj.org/article/0b7bdfba08654324b1cdbf1c884a74fe