IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
Frontiers

The effects of different acupuncture modalities on postoperative cognitive function in elderly Chinese patients undergoing general anesthesia: a network meta-analysis

1 Ruikang Clinical Medical College, Guangxi University of Chinese Medicine, Nanning, Guangxi, China 2 Acupuncture Department, Ruikang Hospital Affiliated with Guangxi University of Chinese Medicine, ...
IEEE

Fusing Fuzzy Entropy With Gaussian and Exponential Membership Functions Outperforms Traditional Entropy Metrics in Monitoring the Depth of Anesthesia Using a Single Frontal EEG ...

Abstract: While entropy metrics derived from electroencephalography (EEG) have shown significant promise in monitoring the depth of anesthesia (DoA), the applicability of fuzzy entropy (FuzzEn) ...
drivesncontrols.com

Controllers combine motion and PLC roles to simplify machine designs

Trio’s Motion-PLC range includes a choice of combined motion controllers and PLCs, an I/O coupler, and various I/O slice modules Trio Motion Technology has launched the first controllers in its new ...
Frontiers

Analysis of the association between dietary sodium intake and cognitive function: a NHANES-based machine learning study and animal experimental validation

Background: Sodium intake is undoubtedly essential for normal bodily function, but it is an important public health concern when intake exceeds dietary requirements. With salt intake exceeding ...