Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

In a previous study, we proposed a variable-component deep neural network (VCDNN) to improve the robustness of contextdependent deep neural network hidden Markov model (CD-DNNHMM). We model the ...

Learn how to use Terraform variables in AWS, including input, output, and local variables for flexible infrastructure code. #TerraformVariables #AWS #IAC Trump reveals what he wants for the world ...

Abstract: Determining the most appropriate inputs to a model has a significant impact on the performance of the model and associated algorithms for classification, prediction, and data analysis.

Abstract: Soft sensors have been widely used in industrial processes in the past two decades, using easy-to-measure process variables to predict hard-to-measure ones. Input variable selection is a ...

On Windows 11/10, we see a lot of processes running in the background. They use a chunk of our system resources and help the programs run better. We can find all the processes listed in the Task ...