Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Biaokai ZHU"'
Publikováno v:
The Clinical Respiratory Journal, Vol 17, Iss 7, Pp 684-693 (2023)
Abstract Purpose The purpose of this study is to propose an efficient coal workers' pneumoconiosis (CWP) clinical prediction system and put it into clinical use for clinical diagnosis of pneumoconiosis. Methods Patients with CWP and dust‐exposed wo
Externí odkaz:
https://doaj.org/article/f264545d404a49c6b1394a6c6efc5b87
Autor:
Biaokai ZHU, Wenwen DENG, Jie SONG, Weijie YUAN, Xinge LIANG, Meiya DONG, Sanman LIU, Qian ZHANG, Jumin ZHAO
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 3, Pp 534-547 (2023)
Compared with the current gesture recognition system based on radio frequency identification technology, the single-tag non-contact gesture recognition system based on convolutional neural network proposed in this paper can maximize user experience.
Externí odkaz:
https://doaj.org/article/1202c408d8004de4af6d0bdb30d303ef
Publikováno v:
BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Purpose This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP). Patients and methods We enrolled
Externí odkaz:
https://doaj.org/article/4efbb6c466664313a26372dac0f101ab
Autor:
Biaokai Zhu, Xinyi Hou, Sanman Liu, Wanli Ma, Meiya Dong, Haibin Wen, Qing Wei, Sixuan Du, Yufeng Zhang
Publikováno v:
IEEE Access, Vol 10, Pp 36637-36648 (2022)
Abnormal traffic and vulnerability attack monitoring play an important role in today’s Internet of Things (IoT) applications. The existing solutions are usually based on machine learning for traffic, and its disadvantage is that a large number of m
Externí odkaz:
https://doaj.org/article/3504e2cd5b7c4e30b6366be3a84bf2dc
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
The photovoltaic industry is a strategic and sunrise industry with international competitive advantages. Driven by policy guidance and market demand, the new energy industry represented by the photovoltaic industry has been a significant emerging ind
Externí odkaz:
https://doaj.org/article/fbabc48ef247450082f7ee0fa800ae9b
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-13 (2018)
Abstract Unlikeonline shopping, it is difficult for the physical store to collect customer shopping data during the process of shopping and conduct in-depth data mining. The existing methods to solve this problem only considered how to collect and an
Externí odkaz:
https://doaj.org/article/af750b98ad0d4d83a0a1bba51b08b4f8
Publikováno v:
ACM Transactions on Sensor Networks; Jan2024, Vol. 20 Issue 1, p1-22, 22p
Publikováno v:
Computer Communications. 185:55-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0829548bb58990fd7815b419b8e1e397
https://doi.org/10.1016/j.comcom.2021.12.018
https://doi.org/10.1016/j.comcom.2021.12.018
Publikováno v:
Telecommunication Systems. 76:595-611
Computational radio frequency identification can be successfully employed in a range of applications. The efficient data dissemination is a building block for useful functions such as parameter configuration, code debug fixing, and wireless reprogram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24d6a29b58e55ef2af39ba14478b397d
https://doi.org/10.1007/s11235-020-00742-1
https://doi.org/10.1007/s11235-020-00742-1
Publikováno v:
China Communications. 17:284-294
To provide more intelligence service in the smart library, we need to better perceive the reader's preferences. In addition to perceiving online records based on readers' search history and borrowing records, advanced information technologies give us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f776998379f9d6672a37f7ec2629ae
https://doi.org/10.23919/jcc.2020.05.021
https://doi.org/10.23919/jcc.2020.05.021