Results 141 to 150 of about 228 (163)
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
Abstract Background Persistent breeding‐induced endometritis (PBIE) is a common reason for mares failing to establish pregnancy. Objective To examine the hypothesis that advancing mare age and embryo donor status predispose to PBIE and compromise fertility.
Tom Stout +3 more
wiley +1 more source
Vaginal host–microbe signatures linked to placental outcomes in mares
Abstract Background Ascending placentitis is a leading cause of late‐term pregnancy loss in mares. Although pathogens are presumed to ascend from the caudal reproductive tract, the association between the vaginal microbiome and placentitis has not been systematically examined.
Machteld van Heule +7 more
wiley +1 more source
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Low-Density Parity-Check Codes and Their Rateless Relatives
IEEE Communications Surveys and Tutorials, 2011Nicholas Bonello +2 more
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The power of grid parity: A discursive approach
Technological Forecasting and Social Change, 2014Geert Verbong
exaly
Global overview on grid‐parity
Progress in Photovoltaics: Research and Applications, 2013Christian Breyer
exaly

