Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hongjiang Zheng"'
Publikováno v:
Machines, Vol 9, Iss 10, p 215 (2021)
In order to improve vehicle control safety in intelligent and connected environments, a fuzzy drive control strategy is proposed. Through the fusion of vehicle driving data, an early warning level model was established, and the fuzzy control method w
Externí odkaz:
https://doaj.org/article/0cfbbe7fd67c435a80e85499974088a8
Publikováno v:
Sensors, Vol 21, Iss 18, p 6092 (2021)
Beacon messages and emergency messages in vehicular ad hoc networks (VANETs) require a lower delay and higher reliability. The optimal MAC protocol can effectively reduce data collision in VANETs communication, thus minimizing delay and improving rel
Externí odkaz:
https://doaj.org/article/39d187e3b5464df491d30567ab39d9be
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
P systems with d-division are a particular class of distributed and parallel computing models investigated in membrane computing, which are inspired from the budding behavior of Baker’s yeast (a cell can generate several cells in one reproducing cy
Externí odkaz:
https://doaj.org/article/6640c72b5db44a88886d0c0ef74f4d33
Autor:
Huixian Wang, Hongjiang Zheng
Publikováno v:
Web Intelligence. 19:253-262
This paper proposes a deep mining method of high-dimensional abnormal data in Internet of things based on improved ant colony algorithm. Preprocess the high-dimensional abnormal data of the Internet of things and extract the data correlation feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a4862ced90433aa6e857a285a9294d1
https://doi.org/10.3233/web-210471
https://doi.org/10.3233/web-210471
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2022 (2022)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
The prediction of lane-change behavior is a challenging issue in intelligent and connected vehicles (ICVs), which can help vehicles predict in advance and change lanes safely. In this paper, a novel intelligent approach, which considering both the dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d0fb6213eed6cab2f2a8d8450bff5d
https://doi.org/10.1155/2022/9516218
https://doi.org/10.1155/2022/9516218
Publikováno v:
IET Intelligent Transport Systems. 14:1555-1564
Detecting traffic signs is an essential task for intelligent and connected vehicles. In this study, a modified model based on the method of You Only Look Once (YOLO) is proposed for detecting different types of Chinese signs, including mandatory, pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e56b7ec4a39c98545b6f3e9a561279f9
https://doi.org/10.1049/iet-its.2019.0475
https://doi.org/10.1049/iet-its.2019.0475
Publikováno v:
Mobile Information Systems, Vol 2020 (2020)
Vehicular Ad Hoc Network (VANET) is the basic technology of intelligent transportation systems for providing reliable and real-time communications between vehicles and vehicles or roadside units. In order to improve the communication quality of VANET
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90e7494f3085a597f2ce3a8fa6d36c94
https://doi.org/10.1155/2020/2741648
https://doi.org/10.1155/2020/2741648
Publikováno v:
International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5de8096643ea6ea61e2bdb6cb5ce4409
https://doi.org/10.1117/12.2627786
https://doi.org/10.1117/12.2627786
Publikováno v:
2021 International Conference on Cyber-Physical Social Intelligence (ICCSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82dc831c67864c593aa676e93136f3fa
https://doi.org/10.1109/iccsi53130.2021.9736175
https://doi.org/10.1109/iccsi53130.2021.9736175
Publikováno v:
2021 IEEE International Conference on Networking, Sensing and Control (ICNSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14d9cbc770ba30bd107c3aef4a4d981
https://doi.org/10.1109/icnsc52481.2021.9702242
https://doi.org/10.1109/icnsc52481.2021.9702242