IEEE

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis

Abstract: We propose a novel discriminative feature learning method via Max-Min Ratio Analysis (MMRA) for exclusively dealing with the long-standing “worst-case class separation” problem. Existing ...
IEEE

Harmonic Distortion Analysis and Suppression for Asynchronous SVPWM at Low Sampling- to-Fundamental Frequency Ratios

Abstract: Operation at low sampling-to-fundamental frequency ratios is challenging, but inevitable for high-speed electric drives due to the limited switching frequency. Synchronous modulation is ...
Frontiers

Veno-venous ECMO-assisted orthopedic stabilization for polytrauma with severe ARDS and refractory hypoxemia: a case report

This case report describes the successful integration of veno-venous extracorporeal membrane oxygenation (VV-ECMO) with physiologically optimized fracture fixation in a critically ill polytrauma ...
Frontiers

Comparing the performance of radiomics, nomograms, machine learning, and large language models in predicting 28-day mortality in severe community-acquired pneumonia patients

1 Fujian Medical University Xiamen Hong’ai Hospital, Xiamen, China 2 Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China Background: Severe community-acquired pneumonia ...