Results 41 to 50 of about 26,410,412 (273)

Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis

Water, 2019
In this research, three different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated with the adaptive neuro-fuzzy inference system (ANFIS) model. The developed
Z. Yaseen, Isa Ebtehaj, Sungwon Kim, H. Sanikhani, Hakimeh Asadi, M. Ghareb, H. Bonakdari, W. Mohtar, N. Al‐Ansari, Shamsuddin Shahid   +9 more
semanticscholar   +1 more source

Identifying and testing the probability distribution of earthfill dam breach parameters for probabilistic dam breach modeling

Journal of Flood Risk Management, 2023
The main goal of this study is to identify the probability distribution of earthfill dam breach parameters using a dam failures database (3861 observations).
Alexandre Ângelo Carmo Luiz daSilva, Julian Cardoso Eleutério   +1 more
doaj   +1 more source

Complementarity and uncertainty in Mach-Zehnder interferometry and beyond [PDF]

, 2006
A coherent account of the connections and contrasts between the principles of complementarity and uncertainty is developed starting from a survey of the various formalizations of these principles.
Busch, Paul, Shilladay, Christopher
core   +4 more sources

Modelling the impact of agrometeorological variables on regional tea yield variability in South Indian tea-growing regions: 1981-2015

Cogent Food & Agriculture, 2019
As tea (Camellia sinensis L.) yield strongly determined by local environmental conditions, thus assessing the potential impact of the seasonal and inter-annual climate variability on regional crop yield has become crucial.
Esack Edwin Raj, K. V. Ramesh, Rajagobal Rajkumar   +2 more
doaj   +1 more source

Uncertainty-Aware Principal Component Analysis

, 2019
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.
Deussen, Oliver, Görtler, Jochen, Spinner, Thilo, Streeb, Dirk, Weiskopf, Daniel   +4 more
core   +1 more source

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

Wind tunnel calibration, corrections and experimental validation for fixed-wing micro air vehicles measurements

Aviation, 2020
The increase in the number of Unmanned Aerial Vehicles (UAVs) and Micro Air Vehicles (MAVs), which are used in a variety of applications has led to a surge in low Reynolds number aerodynamics research.
Ahmed Aboelezz, Yunes Elqudsi, Mostafa Hassanalian, Ahmed Desoki   +3 more
doaj   +1 more source

Uncertainty analysis of species distribution models

PLoS ONE, 2019
The maximum entropy model, a commonly used species distribution model (SDM) normally combines observations of the species occurrence with environmental information to predict the geographic distributions of animal or plant species.
Xi Chen, N. Dimitrov, L. Meyers
semanticscholar   +1 more source

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 Theory Manual.

, 2020
The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods.
Brian M. Adams, Mohamed S. Ebeida, M. Eldred, J. Jakeman, L. Swiler, J. Stephens, Dena M. Vigil, Timothy M. Wildey, W. Bohnhoff, John P. Eddy, Kenneth T. Hu, K. Dalbey, Lara Bauman, P. Hough   +13 more
semanticscholar   +1 more source

Evaluation of touch trigger probe measurement uncertainty using FEA [PDF]

, 2006
Evaluation of measurement uncertainty is an essential subject in dimensional measurement. It has also become a dominant issue in coordinate measuring machine (CMM) even though its machine performance has been well accepted by many users.
Jones, BE, Salleh, MR, Yang, QP
core   +1 more source