Results 31 to 40 of about 110,431 (303)

To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling?

Geoscience Data Journal, 2022
The current handling of data in earth observation, modelling and prediction measures gives cause for critical consideration, since we all too often carelessly ignore data uncertainty.
Hendrik Paasche, Matthias Gross, Jakob Lüttgau, David S. Greenberg, Tobias Weigel   +4 more
doaj   +1 more source

Analysis, Quantification and Evaluation of Uncertainty

, 2022
S.113-207This chapter describes the various approaches to analyse, quantify and evaluate uncertainty along the phases of the product life cycle. It is based on the previous chapters that introduce a consistent classification of uncertainty and a holistic
Platz, R., Brötz, J., Weigold, M., Dietrich, I., Feldmann, R., Rexer, M., Schaeffner, M., Gehb, C.M., Hartig, J., Matei, A., Geßner, F., Lenz, J., Martin, D., Kohler, M., Ulbrich, S., Öztürk, T., Pfetsch, M.E., Bölling, C., Hoppe, F., Hedrich, P., Abele, E., Melz, T., Weber, M., Pelz, P.F., Kersting, S., Staudter, G., Anderl, R.   +26 more
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Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface

, 2021
This paper presents an adaptive Kriging based method to perform uncertainty quantification (UQ) of the photoelectron sheath and dust levitation on the lunar surface.
Hu, Zhen, Wei, Xinpeng, Du, Xiaoping, He, Xiaoming, Han, Daoru, Zhao, Jianxun   +5 more
core   +1 more source

Multi-Fidelity Low-Rank Approximations for Uncertainty Quantification of a Supersonic Aircraft Design

Algorithms, 2022
Uncertainty quantification has proven to be an indispensable study for enhancing reliability and robustness of engineering systems in the early design phase.
Sihmehmet Yildiz, Hayriye Pehlivan Solak, Melike Nikbay   +2 more
doaj   +1 more source

Bi-level Hybrid Uncertainty Quantification in Fatigue Analysis: S-N Curve Approach

Fracture and Structural Integrity, 2020
Due to its physical complexity, fatigue phenomenon inherently presents a significant number of uncertain parameters to be predicted. In uncertainty quantification (UQ), research has demonstrated that even a small variation in uncertain input quantities ...
Raphael Basilio Pires Nonato
doaj   +3 more sources

Coupling Design and Validation Analysis of an Integrated Framework of Uncertainty Quantification

Energies, 2023
The uncertainty quantification is an indispensable part for the validation of the nuclear safety best-estimate codes. However, the uncertainty quantification usually requires the combination of statistical analysis software and nuclear reactor ...
Bo Pang, Yuhang Su, Jie Wang, Chengcheng Deng, Qingyu Huang, Shuang Zhang, Bin Wu, Yuanfeng Lin   +7 more
doaj   +1 more source

Uncertainty quantification in damage mechanics models

, 2023
Plechac, PetrComputational modeling of material response, at the macroscopic scale, under external stimuli, is paramount to predicting material failure in various structural applications.
Troy, Jerome
core   +1 more source

UQpy v4.1: Uncertainty quantification with Python

SoftwareX, 2023
This paper presents the latest improvements introduced in Version 4 of the UQpy, Uncertainty Quantification with Python, library. In the latest version, the code was restructured to conform with the latest Python coding conventions, refactored to ...
Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukas Novak, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner   +11 more
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Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints

Entropy
Given the increasing global emphasis on sustainable energy usage and the rising energy demands of cellular wireless networks, this work seeks an optimal short-term, continuous-time power-procurement schedule to minimize operating expenditure and the ...
Nadhir Ben Rached, Shyam Mohan Subbiah Pillai, Raúl Tempone   +2 more
doaj   +1 more source

Complex model calibration through emulation, a worked example for a stochastic epidemic model

Epidemics, 2022
Uncertainty quantification is a formal paradigm of statistical estimation that aims to account for all uncertainties inherent in the modelling process of real-world complex systems. The methods are directly applicable to stochastic models in epidemiology,
Michael Dunne, Hossein Mohammadi, Peter Challenor, Rita Borgo, Thibaud Porphyre, Ian Vernon, Elif E. Firat, Cagatay Turkay, Thomas Torsney-Weir, Michael Goldstein, Richard Reeve, Hui Fang, Ben Swallow   +12 more
doaj   +1 more source