ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint proteins known as transcriptional regulators that control how genes turn on ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences ...

In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...

The rstan package is probably the most important but also may prove to be finicky to install. See detailed instructions here: https://github.com/stan-dev/rstan/wiki ...

1 Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands 2 Department of Engineering, King’s College London, London, United Kingdom Simulation is an ...

Prosecutors are looking into the actions of two other crew members in connection with the sinking of the luxury yacht Bayesian, which caused the deaths of seven people. By Elisabetta Povoledo ...