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   Articles with "data uncertainty" as a keyword



A Machine Learning Framework for Drought Prediction in Tropical Malaysia With Input Data Uncertainty

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recommendations! Published in 2025 at "International Journal of Climatology"

DOI: 10.1002/joc.70196

Abstract: The far‐reaching and devastating impacts of drought underscored the need for effective drought forecasting. This study addressed the critical gap of the often‐overlooked impacts of input data uncertainty on the forecasting accuracy. The study incorporated… read more here.

Keywords: data uncertainty; input data; drought; xgboost rnn ... See more keywords
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Nuclear data uncertainty propagation on a sodium fast reactor

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recommendations! Published in 2017 at "Nuclear Engineering and Design"

DOI: 10.1016/j.nucengdes.2017.08.018

Abstract: Abstract Uncertainties on criticality parameters and reactivity effects in a SFR (Sodium Fast Reactor) were calculated and characterized. An SFR model loaded with ≈ 10 % MAs (Minor Actinides) was chosen as test case of… read more here.

Keywords: data uncertainty; uncertainty; sodium fast; fast reactor ... See more keywords

Combining Total Monte Carlo and Unified Monte Carlo : Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances

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recommendations! Published in 2017 at "Progress in Nuclear Energy"

DOI: 10.1016/j.pnucene.2016.11.006

Abstract: The Total Monte Carlo methodology (TMC) for nuclear data (ND) uncertainty propagation has been subject to some critique because the nuclear reaction parameters are sampled from distributions which ... read more here.

Keywords: data uncertainty; monte carlo; carlo; total monte ... See more keywords
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Nuclear data uncertainty propagation to the main physical parameters of NUR research reactor

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recommendations! Published in 2020 at "Progress in Nuclear Energy"

DOI: 10.1016/j.pnucene.2020.103557

Abstract: Abstract An accurate nuclear reactor model with less statistical uncertainty is not enough to have an accurate assessment of the calculated physical parameter value. It is worthwhile to note that another source of uncertainties originating… read more here.

Keywords: data uncertainty; uncertainty; code; group ... See more keywords

Effect of data uncertainty and inversion non-uniqueness of surface wave tests on VS,30 estimation

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recommendations! Published in 2018 at "Soil Dynamics and Earthquake Engineering"

DOI: 10.1016/j.soildyn.2018.02.030

Abstract: Abstract The effect of data measurement uncertainty and inversion uncertainty on VS,30 estimation is studied in this article. An attempt has also been made to separate out the inversion and data measurement uncertainties, and their… read more here.

Keywords: data uncertainty; inversion; effect data; uncertainty ... See more keywords

Nuclear Data Uncertainty Propagation in the PWR MOX/UO2 Core Transient Benchmark

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recommendations! Published in 2024 at "Nuclear Technology"

DOI: 10.1080/00295450.2024.2421671

Abstract: Abstract In light water reactor (LWR) transient analyses using deterministic simulation codes, best-estimate plus uncertainty (BEPU) approaches complement the results obtained from simulation codes with uncertainty quantification. In this study, a stochastic sampling–based uncertainty analysis… read more here.

Keywords: uncertainty propagation; transient; data uncertainty; uncertainty ... See more keywords

Sonifying data uncertainty with sound dimensions

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recommendations! Published in 2019 at "Cartography and Geographic Information Science"

DOI: 10.1080/15230406.2018.1495103

Abstract: ABSTRACT The communication of data uncertainty is a crucial problem in data science, information visualization, and geographic information science (GIScience). Effective ways to communicate the uncertainty of data enables data consumers to interpret the data… read more here.

Keywords: communicate uncertainty; information; data uncertainty; uncertainty ... See more keywords

Evaluation of the Impact of Data Uncertainty on the Prediction of Physiological Patient Deterioration

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2853701

Abstract: In this paper, we investigate the impact of data uncertainty on the prediction of a vital sign of abnormalities. We analyze the evolution of mean arterial blood pressure (MAP) and heart rate (HR) vital signs… read more here.

Keywords: data uncertainty; uncertainty; impact data; uncertainty prediction ... See more keywords

Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3198670

Abstract: With the rapid progress of the industrial Internet of Things (IIoT), reducing data uncertainty has become a critical issue in predicting the development trends of systems and formulating future maintenance strategies. This article proposes an… read more here.

Keywords: network; time; data uncertainty; time series ... See more keywords