GitHub

The Multivariate Event Modeller (MEM) is a tool designed for undertaking joint probability analysis of extremes for up to 10 variables.

The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
IEEE

Short-Term Load Probability Prediction Based on Conditional Generative Adversarial Network Curve Generation

Abstract: To ensure the stable and secure operation of the power system, we propose a method for short-term load probability prediction based on Conditional Generative Adversarial Network (CGAN) curve ...
IEEE

Joint Energy and SINR Coverage Probability in UAV Corridor-Assisted RF-Powered IoT Networks

Abstract: This letter studies the joint energy and signal-to-interference-plus-noise (SINR)-based coverage probability in Unmanned Aerial Vehicle (UAV)-assisted radio frequency (RF)-powered Internet ...