INTRODUCTION Financial markets may collapse, rainforest can shift to savanna, a person
can become trapped in a depression, and the Gulf Stream can come to a standstill. Such …

The microbiologically influenced corrosion (MIC) is a serious issue that should be
considered for effective risk-based integrity management of offshore systems under MIC …

To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

The energy system is rapidly changing to accommodate the increasing number of
renewable generators and the general transition towards a more sustainable future …

A variety of enhanced statistical and numerical methods are now routinely used to extract
important thermodynamic and kinetic information from the vast amount of complex, high …

We introduce a Python library, called jumpdiff, which includes all necessary functions to
assess jump-diffusion processes. This library includes functions which compute a set of non …

To monitor wind turbine vibrations, normal behaviour models are built to predict tower top
accelerations and drive-train vibrations. Signal deviations from model prediction are labelled …

Automatic machine learning of empirical models from experimental data has recently
become possible as a result of increased availability of computational power and dedicated …

kramersmoyal is a python library to extract the Kramers--Moyal coefficients from timeseries
of any dimension and to any desired order. This package employs a non-parametric …

Cystic fibrosis (CF) is a recessive genetic disease that is caused by mutations in the cystic
fibrosis transmembrane conductance regulator (CFTR) protein. The recent development of a …