A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.
Abstract: The Steer-by-Wire (SBW) system, driven by a Dual Three-Phase Permanent Magnet Synchronous Motor (DT-PMSM), has attracted significant attention due to its advantages. However, parameter ...
Abstract: DC microgrids face stability challenges when operating with constant power loads (CPLs) due to their negative incremental impedance, which can degrade performance and lead to system failure.
Subclinical atrial fibrillation (SCAF) poses an increased stroke risk, but whether oral anticoagulation for SCAF prevents stroke is unclear. We sought to investigate the treatment effect of SCAF ...
Liquid-handling systems often use peristaltic pumps to perform critical operations. Examples of applications and the functions performed by peristaltic pumps include: An important advantage of ...
Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...
The authors developed a methodology to graph antigenic surface loops on influenza virus neuraminidases. The hybrid proteins retained the structure of the neuraminidase scaffold and the antigenicity of ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
Upper-limb rehabilitation robots have been demonstrated to effectively promote motor recovery in stroke patients. However, in active training modes, control instability may be induced by the nonlinear ...
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