AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

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 ...
IEEE

A Simplified Model Predictive Control Algorithm Based on mn Coordinate System for T2C-HB Converter

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 ...
Reuters

Kalshi, Crypto.com launch prediction markets coalition as investor interest soars

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 ...
Frontiers

Early prediction of ARDS caused by non-pulmonary sepsis based on machine learning algorithms of inflammatory indicators and blood gas parameters

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 ...
Frontiers

An individualized risk prediction tool for ectopic pregnancy within the first 10 weeks of gestation based on machine learning algorithms

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) ...