Results 161 to 170 of about 165,948 (320)

A Gaussian Process Regression IV Model for PV Outdoor Data

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
Each electrical performance measure of PV modules needs to be considered in the context of dynamically changing outdoor conditions. In this paper, we introduce a statistical model based on Gaussian process regressions designed to analyze PV outdoor data aiming to utilize all available information.
Timon S. Vaas   +4 more
wiley   +1 more source

Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Standard methods for calculating ensemble forecast anomalies result in statistical inconsistencies between forecast and verification anomalies, even if the underlying forecasts are perfectly reliable. An unbiased evaluation of anomaly‐based ensemble forecasts must account for differences in climatological sampling uncertainty between forecasts and ...
Christopher D. Roberts   +1 more
wiley   +1 more source

High Ionic Conduction in Rb‐ and Cs‐Mixed Cation Amide for Energy Storage

open access: yesSmall, EarlyView.
A mixed cation‐amide solid solution, Rb0.5Cs0.5NH2, based on the interaction between RbNH2‐ and CsNH2, has been developed. The Rb⁺/Cs⁺ cationic substitution leads to structural stabilization, resulting in high ionic conductivity in the Rb0.5Cs0.5NH2 compared to the single compounds.
Thi Thu Le   +11 more
wiley   +1 more source

Radiation of piezoelectric rings into the air through cylindrical waveguides

open access: yesArchives of Acoustics, 2014
In the paper the results of the investigations of the radiation of piezoelectric rings into the air through solid (e.g. glass, plexiglass, aluminium) cylinders are presented. The obtained radiation patterns approximate Bessel distribution. In the case of
W. PAJEWSKI   +2 more
doaj  

On the developments in Bessel’s functions [PDF]

open access: yesBulletin of the American Mathematical Society, 1916
openaire   +2 more sources

Self‐Driving Microscopes: AI Meets Super‐Resolution Microscopy

open access: yesSmall Methods, EarlyView.
This review examines the use of machine learning to automate super‐resolution optical microscopy, enabling the microscope to autonomously make decisions on what, when, and how to image. By eliminating the need for human intervention, this approach has the potential to enhance the versatility and accessibility of super‐resolution microscopy.
Edward N. Ward   +3 more
wiley   +1 more source

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