A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on object properties and stiffness.

Abstract: This paper presents a new method for stability analysis of nonlinear systems through convex modeling. The proposed method consists of two main steps. First, we develop a quadratic ...

This blog post was authored by Mo Elsayed Senior Associate and Senior Building Performance Analyst, Page; Jill Kurtz, LEED AP BD+ C, Principal and Director of Building Sciences, Page; and Justin ...

Abstract: Soft robotics has witnessed remarkable advancements through the integration of smart materials, among which polyvinylidene fluoride (PVDF) emerges as a promising candidate due to its ...

Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea Graduate School of Semiconductor Materials and Devices ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

DJI has expanded the capabilities of its Terra 3D modeling software with new reconstruction technologies, including 3D Gaussian Splatting. DJI Terra is designed to create accurate and detailed 2D and ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...