Results 1 to 10 of about 26,410,412 (273)
Journal of Natural Fibers, 2022 The variability in natural fiber composite properties has always been problematic due to the dispersion in their mechanical properties resulting from fiber misalignment, irregular crosssection, fiber length, and geometry, which impacts their reliability.
Kumar Maharshi, Shivdayal Patel
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Uncertainty Analysis and Improvement of Propellant Gauging System Applied in Space
Applied Sciences, 2022 Propellant Gauging is of vital importance to a spacecraft at the end of its life. Based on the Monte Carlo Method, uncertainty analysis and the improvement of propellant gauging using gas injection have been studied.
Yanjie Yang +4 more
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Machine Learning and Knowledge Extraction, 2020 A Long Short Term Memory (LSTM) based sales model has been developed to forecast the global sales of hotel business of Travel Boutique Online Holidays (TBO Holidays). The LSTM model is a multivariate model; input to the model includes several independent
Shakti Goel, Rahul Bajpai
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Efficiency analysis in the presence of uncertainty [PDF]
Journal of Productivity Analysis, 2009 In a stochastic decision environment, differences in information can lead rational decision makers facing the same stochastic technology and the same markets to make different production choices. Efficiency and productivity measurement in such a setting can be seriously and systematically biased by the manner in which the stochastic technology is ...
O'Donnell, Christopher J. +2 more
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, 2020 Ensemble machine learning models have been widely used in hydro-systems modeling as robust prediction tools that combine multiple decision trees. In this study, three newly developed ensemble machine learning models, namely gradient boost regression (GBR)
A. Sharafati +3 more
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis [PDF]
Artif. Intell. Medicine, 2022 The full acceptance of Deep Learning (DL) models in the clinical field is rather low with respect to the quantity of high-performing solutions reported in the literature. End users are particularly reluctant to rely on the opaque predictions of DL models.
Benjamin Lambert +5 more
semanticscholar +1 more source
Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm
Energies, 2021 Wind farms experience significant efficiency losses due to the aerodynamic interaction between turbines. A possible control technique to minimize these losses is yaw-based wake steering.
Maarten T. van Beek +2 more
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Uncertainties in the Seismic Assessment of Historical Masonry Buildings
Applied Sciences, 2021 Seismic assessments of historical masonry buildings are affected by several sources of epistemic uncertainty. These are mainly the material and the modelling parameters and the displacement capacity of the elements.
Igor Tomić +2 more
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Drones, 2022 Accurate retrieval of grassland traits is important to support management of pasture production and phenotyping studies. In general, conventional methods used to measure forage yield and quality rely on costly destructive sampling and laboratory analysis,
Marston H. D. Franceschini +3 more
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Sensitivity and uncertainty analysis
, 2023 This NEXOGENESIS Deliverable describes the methodological approaches to be employed within the System Dynamics Models (SDMs) for each of the five Case Studiesregarding: scenario analysis; sensitivity analysis; what-if testing; and uncertainty analysis. It outlines why these methods are essential for improved policy-relevant information.
Janez Sušnik +5 more
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