Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Xiaolei Xiong"'
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 1, Pp 102-118 (2023)
Abstract The cooperative planning in intermodal transport networks can obtain the global optimal decision under the premise of ensuring the data privacy of each role in the cooperation and avoiding massive data transmission. For the control of contai
Externí odkaz:
https://doaj.org/article/b95347149d7a4ddfb835bc96a7eb1823
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
With the development of information technology, intermodal transport research pays more attention to dynamic optimization and multi-role cooperation. The core issue of this paper was to realize container routing with dynamic adjustment, real-time opt
Externí odkaz:
https://doaj.org/article/64bcc78ccec5459a8c8aa958be32ccf0
Publikováno v:
Journal of ICT Research and Applications, Vol 13, Iss 2 (2019)
Tunnel settlement has a significant impact on property security and personal safety. Accurate tunnel-settlement predictions can quickly reveal problems that may be addressed to prevent accidents. However, each acquisition point in the tunnel is only
Externí odkaz:
https://doaj.org/article/d038103b23f4409c95aa52b3777345bc
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
Accurate degradation state recognition of rolling bearing is critical to effective condition based on maintenance for improving reliability and safety. In this work, a new architecture is proposed to recognize the degradation state of the rolling bea
Externí odkaz:
https://doaj.org/article/b6611e7f63f547ab87df0d7d2301faf7
Autor:
Xiaolei Xiong, Zhiguo Zhang, Jing Ren, Jie Zhang, Xiaoyun Pan, Liang Zhang, Shiwei Gong, Si Jin
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193273 (2018)
China's universal medical insurance system (UMIS) is designed to promote social fairness through improving access to medical services and reducing out-of-pocket (OOP) costs for all Chinese. However, it is still not known whether UMIS has a significan
Externí odkaz:
https://doaj.org/article/6546bde749fd4af586ec79292bc34c00
Publikováno v:
Sensors, Vol 19, Iss 4, p 972 (2019)
Deep learning methods have been widely used in the field of intelligent fault diagnosis due to their powerful feature learning and classification capabilities. However, it is easy to overfit depth models because of the large number of parameters brou
Externí odkaz:
https://doaj.org/article/1e89a65146914b8287b969d4e2e0ff56
Publikováno v:
In Procedia CIRP 2018 78:285-288
Publikováno v:
IET Intelligent Transport Systems. 17:102-118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8768ae443e6a5d1d21b04f27a88d120
https://doi.org/10.1049/itr2.12241
https://doi.org/10.1049/itr2.12241
Publikováno v:
International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2626ca90b7449c06301dae0b9a0939
https://doi.org/10.1117/12.2667693
https://doi.org/10.1117/12.2667693
Publikováno v:
International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7802879aa5133ed989d1f4db79f719
https://doi.org/10.1117/12.2667500
https://doi.org/10.1117/12.2667500