Results 21 to 30 of about 661,969 (212)

A New Model Uncertainty Measure of Wave-Induced Motions and Loads on a Container Ship with Forward Speed

Journal of Marine Science and Engineering, 2023
A new uncertainty quantifier is presented for linear transfer functions of wave-induced ship motions and loads obtained by various seakeeping codes. The numerical simulations are conducted for the high-speed Flokstra container ship in regular waves at ...
Hossam S. Abdelwahab, Shan Wang, Josko Parunov, C. Guedes Soares   +3 more
doaj   +1 more source

Uncertainty-Aware Principal Component Analysis [PDF]

IEEE Transactions on Visualization and Computer Graphics, 2020
We present a technique to perform dimensionality reduction on data that is subject to uncertainty. Our method is a generalization of traditional principal component analysis (PCA) to multivariate probability distributions. In comparison to non-linear methods, linear dimensionality reduction techniques have the advantage that the characteristics of such
Gortler, Jochen, Spinner, Thilo, Streeb, Dirk, Weiskopf, Daniel, Deussen, Oliver   +4 more
openaire   +4 more sources

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Frontiers in Psychiatry
IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz, Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe, Stefan Haufe, Stefan Haufe, Stefan Haufe   +8 more
doaj   +1 more source

Uncertainty Analysis for Topographic Correction of Hyperspectral Remote Sensing Images

Remote Sensing, 2020
Quantitative uncertainty analysis is generally taken as an indispensable step in the calibration of a remote sensor. A full uncertainty propagation chain has not been established to set up the metrological traceability for surface reflectance inversed ...
Zhaoning Ma, Guorui Jia, Michael E. Schaepman, Huijie Zhao   +3 more
doaj   +1 more source

Validation and Spatiotemporal Analysis of Surface Net Radiation from CRA/Land and ERA5-Land over the Tibetan Plateau

Atmosphere, 2023
High spatial–temporal resolution surface net radiation (RN) data are of great significance to the study of climate, ecology, hydrology and cryosphere changes on the Tibetan Plateau (TP), but the verification of the surface net radiation products on the ...
Limimg Gao, Yaonan Zhang, Lele Zhang
doaj   +1 more source

Investigation on the Subcooled Boiling in Vertical Pipe With Uncertainties From Boundary Conditions by Using FLUENT

Frontiers in Energy Research, 2018
Subcooled boiling flow taking place in the reactor system plays a critical role in the safety of nuclear power plants. It has been studied by experiments and system codes in the past decades.
Xiang Zhang, Rui Zhang, Xindi Lv, Tenglong Cong   +3 more
doaj   +1 more source

Uncertainty Analysis of Inverse Problem of Resistivity Model in Internal Defects Detection of Buildings

Buildings, 2022
Fissure detection in ancient buildings is of vital importance in the evaluation of resistance or remediation in urban areas. Electrical resistivity imaging is an efficient tool to detect fissures or moisture erosion in buildings by highlighting the ...
Shan Xu, Xinran Wang, Ruiguang Zhu, Ding Wang   +3 more
doaj   +1 more source

Grey Cause–Effect Relationships of Transfer Equipment Supply in Production Lines of the Gas Industry: South Pars Gas Complex

Journal of Engineering
This study presents a novel decision-making framework for the simultaneous selection and transfer of technology and equipment under uncertainty, applied to the gas industry.
Mohsen Khorshidnia, Mohammadreza Feylizadeh, Mehrdad Nikbakht, Sifeng Liu   +3 more
doaj   +1 more source

Use of Neutrosophic Cognitive Maps for a more complex representation of human perceptions [PDF]

Neutrosophic Sets and Systems
The research addresses a central problem in the modeling and analysis of human perceptions: the need for tools that capture more richly and accurately the complexity inherent in opinions, especially in contexts of high uncertainty and contradiction. In a
Juan Alberto Rojas Cardenas, Nelson Francisco Freire Sanchez, Alipio Absalon Cadena Pozo, Karina Perez Teruel   +3 more
doaj   +1 more source

Challenges in Cost Estimation under Uncertainty—A Case Study of the Decommissioning of Barsebäck Nuclear Power Plant

Administrative Sciences, 2016
Cost estimation is an important part of project planning. Over the years different approaches have developed, taking uncertainty into account in the cost estimation processes in order to tackle the dynamic nature of projects.
Olav Torp, Ole Jonny Klakegg
doaj   +1 more source