One of the things I love most about science is that sometimes it gets things wrong. In other disciplines, errors are fatal; chefs don’t benefit from poisoning their patrons. But scientists learn early ...
Abstract: In this study, we propose a novel epidemiological framework, the SEIHQR model, which integrates Scientific Machine Learning (SciML) with interpretable compartment-based modeling. We apply ...
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