Abstract: Data-driven optimal power flow (OPF) leverages neural networks (NNs) to learn the OPF maps from samples. However, the inherent intricate nonlinearity in the OPF problem poses significant ...
This study addressed the alarming rate of public school teachers leaving the profession and the leadership factors influencing it. The research explored two questions: 1) What factors affect teachers’ ...
Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. On Election Day, Peter Hubbard was one of two Democratic candidates who took a ...
Is this real? Google's surprising new advice. Google has just told smartphone users to “avoid using public Wi-Fi whenever possible,” warning that “these networks can be unencrypted and easily ...
Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...
LC–ESI–MS/MS and GC×GC–TOF-MS are pivotal in identifying nitazene analogs and estimating fingerprint age, respectively, advancing forensic timelines. SALLE–LC–MS/MS and SPME-GC–MS enhance detection of ...
The FAA is seeking public comments on proposed guidance that would define sample sizes for parts manufacturer approval (PMA) applicants seeking certification for engine and auxiliary power unit (APU) ...
NEW YORK, August 4 (Reuters) - Google (GOOGL.O), opens new tab has signed agreements with two U.S. electric utilities to reduce its AI data center power consumption during times of surging demand on ...
1 Wuxi hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China 2 Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, ...
Abstract: Class imbalance can substantially affect classification tasks using traditional classifiers, especially when identifying instances of minority categories. In addition to class imbalance, ...
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...