Results 21 to 30 of about 85,322 (257)

Multidimensional integration using machine learning and Monte Carlo methods for acoustic predictions [PDF]

ESAIM: Proceedings and Surveys
To predict underwater noise radiated by a ship, various numerical methods are available. In underwater acoustics, the most effective prediction methods consist in solving an acoustic analogy using an integral formulation.
Coiffard Théo, Laoye Victoria Eshomomoh, Mannes Yolhan, Mohan Shyam, Pillai Subbiah, Trafny Nicolas   +5 more
doaj   +1 more source

GENERATIONS IN BAYESIAN NETWORKS

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019
This paper focuses on the study of some aspects of the theory of oriented graphs in Bayesian networks. In some papers on the theory of Bayesian networks, the concept of “Generation of vertices” denotes a certain set of vertices with many parents ...
Alexander Litvinenko, Natalya Litvinenko, Orken Mamyrbayev, Assem Shayakhmetova   +3 more
doaj   +1 more source

Uncertainty Quantification of Imperfect Diagnostics

Aerospace, 2023
The operable state of a system is maintained during operation, which requires knowledge of the system’s state. Technical diagnostics, as a process of accurately obtaining information about the system state, becomes a crucial stage in the life cycle of ...
Vladimir Ulansky, Ahmed Raza
doaj   +1 more source

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

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

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
doaj   +1 more source

UNCERTAINTY QUANTIFICATION IN THE CLOUD WITH UQCLOUD [PDF]

Proceedings of the 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 2021
General-purpose uncertainty quantification software has become a well established requirement in modern engineering workflows. Different communities (e.g. applied maths, engineering, economics, etc.), however, generally employ diverse arrays of technologies and workflows, from computing infrastructure to programming languages. To overcome the intrinsic
Lataniotis, Christos, Marelli, Stefano, Sudret, Bruno   +2 more
openaire   +1 more source

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