In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization ... As process engineers, when we consider designing multiple instances of a particular ...

Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 ...

A novel form of high-tech concrete known basalt fiber-reinforced high-performance concrete (BFHPC) has been developed using traditional materials that require extra admixtures to improve its ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...

ABSTRACT: The purpose of this research was to determine whether Artificial Intelligence (AI) and the Expected Utility Hypothesis can be effectively applied to the prioritization of defense in-depth ...

Steven Weingarten, Amarea CEO hands over the MMJ ProX Additive Manufacturing machine to Lisa Gottlieb, Research Associate at Fraunhofer IKTS (Courtesy IKTS) Amarea Technology GmbH, based in Dresden, ...