Both machine learning and mechanistic modelling approaches have been used independently with great success in systems biology. Machine learning excels in deriving statistical relationships and ...

Institute for Multiscale Thermofluids, School of Engineering, University of Edinburgh, Edinburgh, United Kingdom Inertial microfluidics allows for passive, label-free manipulation of particles ...

News from EUROfusion member DIFFER: Using machine learning is a promising trend in modelling the behaviour of the plasma inside a nuclear fusion reactor. DIFFER-researchers are pioneering very fast ...

Abstract: The research work has highlighted that the main purpose of this research work is to identify the role of ML (Machine Learning) in simulation modelling and its effect on construction project ...

Objectives This study aimed to compare the performance of five machine learning algorithms to predict diabetes mellitus based on lifestyle factors (diet and physical activity). Design Retrospective ...

Quants are in the business of making helpful assumptions around modelling the characteristics of an asset. But when it comes to interest rates, many of those simplifying conventions tend to break down ...