Objective: To address this gap, we conducted a pre-registered meta-analysis to synthesize findings from rigorously designed randomized controlled trials (i.e., low attrition, comparable baseline ...

Abstract: Gaussian processes (GPs) are a powerful method for modeling complex systems, providing predictions along with uncertainties. Learning surrogate models requires experiments, which are often ...

Abstract: The integration of hydrogen and renewable technologies is increasingly recognized as essential for developing reliable and economically viable energy systems in modern cities. This paper ...