ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...

Abstract: Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic applications, ...

Macy is a writer on the AI Team. She covers how AI is changing daily life and how to make the most of it. This includes writing about consumer AI products and their real-world impact, from ...

Since no one ever does anything worthwhile on their own, who you know is important. But what you know — and what you do with what you know — is crucial. Learning, memory, and cognitive skills are a ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

I’ve been working with artificial neural networks (ANNs) and machine learning (ML) since the late nineties when I was in graduate school. ML and ANNs are subsets of the world of artificial ...