Zobrazeno 1 - 10
of 5 804
pro vyhledávání: '"global sensitivity analysis"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Behavioral models have garnered significant interest in the realm of high-frequency electronics. Their primary function is to substitute costly computational tools, notably electromagnetic (EM) analysis, for repetitive evaluations of the str
Externí odkaz:
https://doaj.org/article/671fcd7b018c404da2a181531b5f6994
Autor:
Madhav Chaturvedi, Isti Rodiah, Mirjam Kretzschmar, Stefan Scholz, Berit Lange, André Karch, Veronika K. Jaeger
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Many European countries experienced outbreaks of mpox in 2022, and there was an mpox outbreak in 2023 in the Democratic Republic of Congo. There were many apparent differences between these outbreaks and previous outbreaks of mpox
Externí odkaz:
https://doaj.org/article/91d942e803a144998cf70d02fc360aa4
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to 2019, we estimate the probabilities of starting and quitting smoking and the probability of
Externí odkaz:
https://doaj.org/article/e77c488af14c41c4a51b36b08a739b92
Autor:
Tohid Erfani, Afrah AlEdan
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-9 (2024)
ABSTRACTA substantial amount of wastewater is generated during the extraction of oil and gas. Wastewater that is generated as a result of oil and gas extraction activities is known as produced water (PW), and managing PW is one of the greatest challe
Externí odkaz:
https://doaj.org/article/5efef03774294fb091ca5c1efa30c937
Autor:
Mazhar Ali, Tooba Sarwar, Nabisab Mujawar Mubarak, Rama Rao Karri, Lubna Ghalib, Aisha Bibi, Shaukat Ali Mazari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Ionic liquids (ILs) are highly effective for capturing carbon dioxide (CO2). The prediction of CO2 solubility in ILs is crucial for optimizing CO2 capture processes. This study investigates the use of deep learning models for CO2 solubility
Externí odkaz:
https://doaj.org/article/5457212949214adcb5b25c9eade152dd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This research introduces a novel global sensitivity analysis (GSA) framework for agent-based models (ABMs) that explicitly handles their distinctive features, such as multi-level structure and temporal dynamics. The framework uses Grassmanni
Externí odkaz:
https://doaj.org/article/fe75001948f84a6cac38e4fc4effdcec
Autor:
Akshay Kumar, Gaurav Tiwari
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 3, Pp 840-859 (2024)
Traditional global sensitivity analysis (GSA) neglects the epistemic uncertainties associated with the probabilistic characteristics (i.e. type of distribution type and its parameters) of input rock properties emanating due to the small size of datas
Externí odkaz:
https://doaj.org/article/709d040c86bd4d36b674e93ed6beb994
Autor:
DI Haoyuan, LI Hongshuang
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 1, Pp 79-88 (2024)
The aero-engine turbine rear casing is a key component for aero-engine safety,but it has complex working conditions and multiple uncertain factors. In order to explore the influence of the uncertainty of input random variables on the failure probab
Externí odkaz:
https://doaj.org/article/96dee0eeff13405295080f1384739e70
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Publikováno v:
Journal of Civil Engineering and Management, Vol 30, Iss 4 (2024)
The design of stud connectors is aided by determining the relationship between shear strength and the input variables (number, diameter, height, tensile strength and elastic modulus of the studs, and compressive strength and elastic modulus of the co
Externí odkaz:
https://doaj.org/article/3e2e6ea6d28e43c18bdc2efab1e80801