research
∙
08/10/2023
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Channel modelling is essential to designing modern wireless communicatio...
share
research
∙
07/16/2021
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Magnetic resonance velocimetry (MRV) is a non-invasive experimental tech...
research
∙
07/01/2021
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning
The 100 MW cryogenic liquid oxygen/hydrogen multi-injector combustor BKD...
research
∙
04/26/2021
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
This paper proposes a Bayesian data-driven machine learning method for t...
research
∙
11/25/2020
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Combustion instabilities are particularly problematic for rocket thrust ...
research
∙
10/11/2020
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles
The estimation of model parameters with uncertainties from observed data...
research
∙
10/07/2020