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 ...

This study provides an extensive review of over 200 journal papers focusing on Machine Learning (ML) algorithms’ use for promoting a sustainable management of the marine and coastal environments. The ...

1. Understanding Credit Risk Modelling: Gain a comprehensive understanding of the fundamentals of credit risk assessment and discover the pivotal role that machine learning plays in modelling credit ...

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

The biopharma industry has been notoriously cautious and slow to adopt new technologies, not least because it is a strictly regulated space and the sector has built up long-standing, well-established ...

Abstract: An accurate dynamic model holds critical significance for model based applications such as state estimation, system control, monitoring and optimization. While first principles based dynamic ...

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 ...