Zobrazeno 1 - 10
of 41
pro vyhledávání: '"YongGuo Jiang"'
Autor:
Pu Wang, Yongguo Jiang
Publikováno v:
Sensors, Vol 22, Iss 21, p 8499 (2022)
In recent years, with the diversification of people’s modes of transportation, a large amount of traffic data is generated when people travel every day, and this data can help transportation mode detection to be of great use in a variety of applica
Externí odkaz:
https://doaj.org/article/4ff5abbe9e4e4c098a44c6e9a5109ae0
Autor:
Pu Wang, Yongguo Jiang
Publikováno v:
Sensors, Vol 22, Iss 17, p 6712 (2022)
In recent years, with the development of science and technology, people have more and more choices for daily travel. However, assisting with various mobile intelligent services by transportation mode detection has become more urgent for the refinemen
Externí odkaz:
https://doaj.org/article/1f50ede9bb5a4f4693bc8283bb14360b
Publikováno v:
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93328eaeae24f774dd84b18f8d8f5df
https://doi.org/10.1109/imcec55388.2022.10020148
https://doi.org/10.1109/imcec55388.2022.10020148
Publikováno v:
2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c107b58c59b2b220668c2061d37bd2dc
https://doi.org/10.1109/hdis56859.2022.9991348
https://doi.org/10.1109/hdis56859.2022.9991348
Publikováno v:
2022 8th International Conference on Big Data Computing and Communications (BigCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28fa626420b3541f848cfb01f6122e40
https://doi.org/10.1109/bigcom57025.2022.00053
https://doi.org/10.1109/bigcom57025.2022.00053
Trajectory-User Linking (TUL), which links trajectories to users who generate them, has been a challenging problem due to the sparsity in check-in mobility data. Existing methods ignore the utilization of historical data or rich contextual features i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31065d791b9d3c361db4f3888dc93c0e
http://arxiv.org/abs/2205.03773
http://arxiv.org/abs/2205.03773
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811983498
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31828533ec549761d04dc2d3724573d8
https://doi.org/10.1007/978-981-19-8350-4_4
https://doi.org/10.1007/978-981-19-8350-4_4
Autor:
Ketao Liu, Yongguo Jiang
Publikováno v:
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::071630077f3e249a408de75a6bdb5999
https://doi.org/10.1109/iciba52610.2021.9688155
https://doi.org/10.1109/iciba52610.2021.9688155
Publikováno v:
BigCom
In view of the characteristics of multi-source data fusion requirements for shipborne information systems, this thesis improves ActiveMQ and builds a shipboard robust communication prototype system. The prototype system takes advantages of reliable d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::991139411e2e09a05cf98ef849e48db1
https://doi.org/10.1109/bigcom.2019.00045
https://doi.org/10.1109/bigcom.2019.00045
Publikováno v:
Journal of Ocean University of China. 14:261-268
A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is routinely completed using sensors an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e46882b5c55de4512dca39b157e3c0
https://doi.org/10.1007/s11802-015-2492-5
https://doi.org/10.1007/s11802-015-2492-5