Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Qianlong Jin"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1617 (2023)
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real
Externí odkaz:
https://doaj.org/article/8cdbe21d1f2b4d019f574c46b500cd05
Publikováno v:
IEEE Access, Vol 8, Pp 21178-21195 (2020)
Multibody marine robots, representing a promising research and development area, have gained acute attention and response from civil and military fields. A multibody marine robot is a multibody system composed of multiple single-body marine robots (d
Externí odkaz:
https://doaj.org/article/2f8d0cd5891546bf9b3c22d8bcd54e1a
Publikováno v:
OCEANS 2022, Hampton Roads.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f259a8fe2e48364e463ed3dc5da74ec8
https://doi.org/10.1109/oceans47191.2022.9977254
https://doi.org/10.1109/oceans47191.2022.9977254
Publikováno v:
OCEANS 2022, Hampton Roads.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b93310b86e9397f770d95053a89f667f
https://doi.org/10.1109/oceans47191.2022.9977025
https://doi.org/10.1109/oceans47191.2022.9977025
Publikováno v:
OCEANS 2022 - Chennai.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::867cab80b6f6d4f89a86d3de8f20994d
https://doi.org/10.1109/oceanschennai45887.2022.9775234
https://doi.org/10.1109/oceanschennai45887.2022.9775234
Publikováno v:
CACRE
Temporal prediction of three-dimensional spatial fields of ocean temperature, salinity and flow is important for a number of civilian and military applications. For accurate prediction of regional ocean environments, combing an accurate dynamic ocean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389e646d7592ee8b6f33c439476a45a8
https://doi.org/10.1109/cacre52464.2021.9501341
https://doi.org/10.1109/cacre52464.2021.9501341
Publikováno v:
CACRE
This paper presents a strategy for planning a path of a marine vehicle in dynamic flow fields. This strategy composes of two modules: deep reinforcement learning based path planning and dynamic mode decomposition (DMD) based flow fields prediction. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0aa09338830d7d54941c13c3766a070
https://doi.org/10.1109/cacre52464.2021.9501367
https://doi.org/10.1109/cacre52464.2021.9501367
Publikováno v:
Ocean Engineering. 251:111125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f35e0adf86d608a81cc5f1ee2bdd00e9
https://doi.org/10.1016/j.oceaneng.2022.111125
https://doi.org/10.1016/j.oceaneng.2022.111125
Publikováno v:
Applied Microbiology & Biotechnology; Mar2014, Vol. 98 Issue 6, p2687-2697, 11p