Zobrazeno 1 - 10
of 2 625
pro vyhledávání: '"data driven model"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract While data-driven approaches demonstrate great potential in atmospheric modeling and weather forecasting, ocean modeling poses distinct challenges due to complex bathymetry, land, vertical structure, and flow non-linearity. This study introd
Externí odkaz:
https://doaj.org/article/a00cd0f9dab74e038c65f22423e54e98
Autor:
Aditya Firman Ihsan
Publikováno v:
Communication in Biomathematical Sciences, Vol 7, Iss 1, Pp 50-60 (2024)
The compartmental model stands as a cornerstone in quantitatively describing the transmission dynamics of diseases. Through a series of assumptions, this model can be formulated and subsequently validated against real-world conditions. Leveraging the
Externí odkaz:
https://doaj.org/article/75cddd9dc67c47e68f04ca03cf0b3c14
Publikováno v:
Zhejiang dianli, Vol 43, Iss 6, Pp 61-68 (2024)
In weak power grids， grid-connected inverters often suffer from poor robustness and significant harmonics. Moreover， model predictive control （MPC） heavily relies on system parameters， limiting its applicability in weak grids. To address th
Externí odkaz:
https://doaj.org/article/161eb2c359474c2082c4ea3577575b07
Autor:
Loes Verhaeghe, Jan Verwaeren, Gamze Kirim, Saba Daneshgar, Peter A. Vanrolleghem, Elena Torfs
Publikováno v:
Water Science and Technology, Vol 89, Iss 11, Pp 2971-2990 (2024)
This study explores various approaches to formulating a parallel hybrid model (HM) for Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven model. In the study, the HM is constructed by training a neural network (NN)
Externí odkaz:
https://doaj.org/article/dae04b3829f1499f9b5ad0802f824fdc
Publikováno v:
Propulsion and Power Research, Vol 13, Iss 2, Pp 178-193 (2024)
Accurate acquisition of the distribution of flow parameters inside the supersonic combustor is of great significance for hypersonic flight control. It is an interesting attempt to introduce a data-driven model to a supersonic combustor for flow field
Externí odkaz:
https://doaj.org/article/95ec285a134a4a29a0c0d6b74071ca51
Autor:
Lu, Huiyan a, b, Tanyaş, Hakan b, ⁎, Li, Weile a, Xu, Qiang a, van Westen, Cees J. b, Lombardo, Luigi b
Publikováno v:
In Engineering Geology January 2025 344
Publikováno v:
In Process Safety and Environmental Protection January 2025 193:589-613
Autor:
Chen, Lin a, b, He, Manping a, Wu, Shuxiao a, Chen, Deqian a, Zhao, Mingsi a, Pan, Haihong a, ⁎
Publikováno v:
In Journal of Energy Storage 1 January 2025 105
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/1c9eb8fa55dc41a690ed6ff74881130e
Autor:
Ehsan Kazemi, Iman Soltani
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101213- (2024)
The safety of work zones is a critical issue for drivers, transportation agencies, and governing authorities. In particular, the vehicles that perform lane changes in the proximity of the work zones involving lane closure, pose a significant threat t
Externí odkaz:
https://doaj.org/article/385680f78207463597df50c9e603306f