Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mengning Wu"'
Publikováno v:
Machines, Vol 11, Iss 2, p 205 (2023)
The lack of indoor floor plans is one of the major obstacles to ubiquitous indoor location-based services. Dedicated mobile robots with high-precision sensors can measure and produce accurate indoor maps, but the deployment remains low for the public
Externí odkaz:
https://doaj.org/article/be997e650b8f4f16a888b7dd90cedb8e
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 12, p 992 (2020)
Short-term wave forecasts are essential for the execution of marine operations. In this paper, an efficient and reliable physics-based machine learning (PBML) model is proposed to realize the multi-step-ahead forecasting of wave conditions (e.g., sig
Externí odkaz:
https://doaj.org/article/6a9f5da43e48472d9106ebb6e9725824
Publikováno v:
Ocean Engineering
Installation of offshore wind turbines, particularly blades, is challenging and should be executed within the allowable limit of sea states to ensure the safety and the efficiency of installation. During the execution phase where weather forecast wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2beaeeb94edce7326befe606e3a25740
https://hdl.handle.net/11250/3058371
https://hdl.handle.net/11250/3058371
Publikováno v:
Ocean Engineering. 262:112263
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 992, p 992 (2020)
Journal of Marine Science and Engineering
Volume 8
Issue 12
Journal of Marine Science and Engineering
Volume 8
Issue 12
Short-term wave forecasts are essential for the execution of marine operations. In this paper, an efficient and reliable physics-based machine learning (PBML) model is proposed to realize the multi-step-ahead forecasting of wave conditions (e.g., sig
Publikováno v:
Ocean Engineering
Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via various methods. However, pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e94822d593e1ba102a1c815c670acc6
http://hdl.handle.net/11250/2631420
http://hdl.handle.net/11250/2631420