Results 51 to 60 of about 2,979,249 (191)
The Impact of a Regional Nuclear Conflict between India and Pakistan: Two Views
Journal for Peace and Nuclear Disarmament, 2021 The severity of climatic effects of a regional nuclear conflict between India and Pakistan, involving the use of a hundred Hiroshima-scale nuclear weapons, is contested between two groups; Mills et al.
G. D. Hess
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Geosciences, 2023 The operation of upstream reservoirs in mountainous regions fed by snowmelt is highly challenging. This is partly due to scarce information given harsh topographic conditions and a lack of monitoring stations. In this sense, snow observations from remote
Gökçen Uysal +3 more
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Effects of precipitation uncertainty on discharge calculations for main river basins [PDF]
, 2009 This study quantifies the uncertainty in discharge calculations caused by uncertainty in precipitation input for 294 river basins worldwide. Seven global gridded precipitation datasets are compared at river basin scale in terms of mean annual and ...
Biemans, H. +4 more
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Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis
Econometrics, 2020 This paper discusses Bayesian model averaging (BMA) in Stochastic Frontier Analysis and investigates inference sensitivity to prior assumptions made about the scale parameter of (in)efficiency. We turn our attention to the “standard” prior specifications
Kamil Makieła, Błażej Mazur
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Probabilistic Models for the Shear Strength of RC Deep Beams
Applied Sciences, 2023 A new shear strength determination of reinforced concrete (RC) deep beams was proposed by using a statistical approach. The Bayesian–MCMC (Markov Chain Monte Carlo) method was introduced to establish a new shear prediction model and to improve seven ...
Zhenjun Li +5 more
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Dasymetric Modeling and Uncertainty [PDF]
Annals of the Association of American Geographers, 2013 Dasymetric models increase the spatial resolution of population data by incorporating related ancillary data layers. The role of uncertainty in dasymetric modeling has not been fully addressed as of yet. Uncertainty is usually present because most population data are themselves uncertain, and/or the geographic processes that connect population and the ...
Nagle, Nicholas N. +3 more
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Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings
AlgorithmsIn most re-identification approaches, embedding vectors are compared to identify the best match for a given query. However, this comparison does not take into account whether the encoded information in the embedding vectors was extracted reliably from ...
Markus Eisenbach +3 more
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Hands-on MPC Tuning for Industrial Applications [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019 This paper proposes a practical tuning of closed loops with model based predictive control. The data assumed to be known from the process is the result of the bump test commonly applied in industry and known in engineering as step response data.
C. Ionescu, D. Copot
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Energies, 2022 Accurate state of charge (SOC) plays a vital role in battery management systems (BMSs). Among several developed SOC estimation methods, the extended Kalman filter (EKF) has been extensively applied.
Deng Ma +4 more
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Environmental Research Letters, 2018 The impact of grazing activity on terrestrial carbon (C) sequestration has been noticed and studied worldwide. Recent efforts have been made to incorporate the disturbance into process-based land models. However, the performance of grazing models has not
Yizhao Chen +8 more
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