Zobrazeno 1 - 10
of 2 654
pro vyhledávání: '"surrogate models"'
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-16 (2024)
Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. Interpretable ML is, therefore, an emerging research f
Externí odkaz:
https://doaj.org/article/9385f7d2bbbf405fafe9ff1814111833
Autor:
Kwang-Il Ahn
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3686-3699 (2024)
This paper explores the alternating conditional expectation (ACE) algorithm-based surrogate model to advance the state-of-practice in uncertainty and sensitivity analysis methodologies for severe accident codes. For engineering purposes, the ACE algo
Externí odkaz:
https://doaj.org/article/723747247c03465d81f89c006d5b3702
Publikováno v:
Energy and Built Environment, Vol 5, Iss 6, Pp 889-899 (2024)
The building stock is responsible for a large share of global energy consumption and greenhouse gas emissions, therefore, it is critical to promote building retrofit to achieve the proposed carbon and energy neutrality goals. One of the policies impl
Externí odkaz:
https://doaj.org/article/689d3f70afaf4b189270295278c4e088
Publikováno v:
Frontiers in Systems Biology, Vol 4 (2024)
Uncertainty is ubiquitous in biological systems. For example, since gene expression is intrinsically governed by noise, nature shows a fascinating degree of variability. If we want to use a model to predict the behaviour of such an intrinsically stoc
Externí odkaz:
https://doaj.org/article/33fa84c14742415c95f366bb2b4bb56c
Publikováno v:
Resilient Cities and Structures, Vol 3, Iss 1, Pp 20-43 (2024)
Traditionally, nonlinear time history analysis (NLTHA) is used to assess the performance of structures under future hazards which is necessary to develop effective disaster risk management strategies. However, this method is computationally intensive
Externí odkaz:
https://doaj.org/article/e2ae0a2f96374a84ade53c2d8e537203
Autor:
Andrew Bennett, Hoang Tran, Luis De laFuente, Amanda Triplett, Yueling Ma, Peter Melchior, Reed M. Maxwell, Laura E. Condon
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 6, Pp n/a-n/a (2024)
Abstract Integrated hydrologic models can simulate coupled surface and subsurface processes but are computationally expensive to run at high resolutions over large domains. Here we develop a novel deep learning model to emulate subsurface flows simul
Externí odkaz:
https://doaj.org/article/fe2dfe9eb7814bddbfd75e9f2b6606e1
Publikováno v:
IEEE Access, Vol 12, Pp 86144-86159 (2024)
Expensive optimization problems are characterized by the significant amount of time and resources needed to determine the quality of potential solutions. This poses severe limitations for the application of metaheuristic optimization methods, such as
Externí odkaz:
https://doaj.org/article/9210c87c494b4ecaa923e4737c4d1c01
Publikováno v:
IEEE Access, Vol 12, Pp 6494-6517 (2024)
Due to increasing environmental concerns and global energy demand, the development of Floating Offshore Wind Turbines (FOWTs) is on the rise. FOWTs offer a promising solution to expand wind farm deployment into deeper waters with abundant wind resour
Externí odkaz:
https://doaj.org/article/ab42775c86e946b5aa1365e098561316
Publikováno v:
Water, Vol 16, Iss 19, p 2861 (2024)
Predicting the key plume evolution features of groundwater contamination are crucial for assessing uncertainty in contamination control and remediation, while implementing detailed complex numerical models for a large number of scenario simulations i
Externí odkaz:
https://doaj.org/article/c75b721aa60547cea2281db1dd098eae
Autor:
Aldo Márquez-Grajales, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Fernando Salas-Martínez
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 5, p 78 (2024)
The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible discretization scheme using different value cuts for each non-equal time interval, which incurs a high computational cost for evaluating each obj
Externí odkaz:
https://doaj.org/article/2e6f00fb6d5040a0a641e99c11863d12