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 ...
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 ...
Dr. McBain studies policies and technologies that serve vulnerable populations. On any given night, countless teenagers confide in artificial intelligence chatbots — sharing their loneliness, anxiety ...
Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...
1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...
Ion chromatography can be utilized in various ways to analyze halogens and similar substances within inorganic matrices. A study from a multi-institutional research team comprised of Wuchang ...
Managing multiple monitors can be challenging even though Windows 11 offers features like Snap layout. However, Microsoft PowerToys offers tools to streamline your workflow and improve productivity ...
Abstract: It is a widely recognized challenge to achieve independently steerable multiple beams using analog circuits. The generalized joined coupler (GJC) matrices have been proved capable of ...
Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces.