When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...
In 2025, an environmental journalist ventured into rural India, uncovering grassroots stories often overlooked by AI ...
The group, Coalition for Prediction Markets (CPM), comes as the U.S. prediction market has boomed since the start of the year. A federal court's dismissal last year of a prohibition on election ...
Objective: Acute respiratory distress syndrome (ARDS) is a common complication in patients with non-pulmonary sepsis. Early identification and prediction of the occurrence of ARDS in non-pulmonary ...
Background: As the main cause of maternal deaths in early pregnancy, delayed diagnosis of ectopic pregnancy (EP) may lead to severe consequences. Patients with pregnancy of unknown location (PUL) ...
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