Results 11 to 20 of about 6,283,547 (291)
Modelling water temperature in the lower Olifants River and the implications for climate change
Freshwater systems in southern Africa are under threat of climate change, not only from altered flow regimes as rainfall patterns change, but also from biologically significant increases in water temperature.
Amanda L. Adlam +3 more
doaj +1 more source
With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed.
Shab Gbémou +3 more
doaj +1 more source
Prevention of type-1 human immunodeficiency virus (HIV) infections has primarily been through condom usage, abstinence, and behavioral and risk awareness programs.
Jeramy Lewis, Robert E. Camley
doaj +1 more source
Assessing the differential behavior of a group of genotypes in various environments is fundamentally important in any breeding program. As sugarcane is the most important crop in the state of Pernambuco, it is of great relevance to study its performance ...
João de Andrade Dutra Filho +15 more
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Factors affecting the survival of stroke patients in the last eight years using parametric and non-parametric models: A study in the northwest of Iran [PDF]
Background. The aim of this study was to evaluate factors affecting the survival of 5,430 stroke patients in the northwest of Iran using parametric and non-parametric models of survival analysis. Methods.
Mehdi Farhoudi +3 more
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Event-Based Evaluation of Electricity Price Ensemble Forecasts
The present paper considers the problem of choosing among a collection of competing electricity price forecasting models to address a stochastic decision-making problem.
Arne Vogler, Florian Ziel
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We present an analysis of the pseudorapidity η and transverse momentum pT distributions of charged hadrons in pp collisions for the kinematic range of ...
Muhammad Ajaz +9 more
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Active Learning with Statistical Models [PDF]
For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks.
Cohn, D. A. +2 more
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Worm algorithms for classical statistical models [PDF]
We show that high-temperature expansions may serve as a basis for the novel approach to efficient Monte Carlo simulations. "Worm" algorithms utilize the idea of updating closed path configurations (produced by high-temperature expansions) through the ...
Boris Svistunov +18 more
core +3 more sources
With the development of micro-grids including PV production and storage, the need for efficient energy management strategies arises. One of their key components is the forecast of the energy production from very short to long term. The forecast time-step
Jean-Laurent Duchaud +4 more
doaj +1 more source

