Abstract: Many decision-making processes in the energy industry depend on probabilistic forecasting to quantify the future uncertainties. However, existing methods are difficult to provide reliable ...
Abstract: The rising threat of wildfires poses significant challenges to power transmission networks, particularly in areas prone to such disasters. Traditional approaches for wildfire risk assessment ...
ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...
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