Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Weibing Feng"'
Autor:
Weibing Feng, Tiantian Sun
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute reduction efficiency, low classification accuracy and lack of consideration of unlabeled data
Externí odkaz:
https://doaj.org/article/40492ab145d64109966911c03dd4c0e7
Publikováno v:
Water, Vol 16, Iss 14, p 1955 (2024)
The efficiency of beach recovery during a time of moderate waves following storm waves is closely related to the interaction between dynamics, sediment, and the landform. The existing studies mainly focus on the description of erosion and accretion c
Externí odkaz:
https://doaj.org/article/fb8e61a8bf17497f83a91636ce68b229
Publikováno v:
Water, Vol 16, Iss 10, p 1335 (2024)
Variable and complex marine environmental loads combined with wave resistance and the insufficient controllability of large caisson structures pose serious challenges during maritime towing. Cable breakage events are common, and improper behaviors co
Externí odkaz:
https://doaj.org/article/e89fdf1921984bd284df8920dacc9f07
Publikováno v:
Water, Vol 13, Iss 2, p 126 (2021)
Large caissons are extensively applied as deep-water foundations in marine engineering. In fact, caissons are generally prefabricated and transported to project site by wet towing. Motion responses of large caissons and those occurring during the tow
Externí odkaz:
https://doaj.org/article/260200c9d50645e4a2213a296ba60d66
Publikováno v:
Neural Computing and Applications. 34:11539-11552
Autor:
Jiaxin Li, Weibing Feng
Publikováno v:
International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022).
Publikováno v:
International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022).
Analytical and numerical investigation of edge waves near a vertical breakwater over a convex bottom
Publikováno v:
Ocean Engineering. 266:112923
Publikováno v:
Physics of Fluids. 34:115130
In this paper, a novel method to construct non-intrusive reduced order model (ROM) is proposed. The method is based on proper orthogonal decomposition and transformer neural network. Proper orthogonal decomposition is used to generate the basis funct