Results 1 to 10 of 103
A physics-informed neural network (PINN) is a type of deep learning framework that incorporates physical constraints or relationships into its architecture. Traditional neural networks are...
New work looking at genetic risk and the links with inflammatory disease and COVID-19 will not only help predict those patients at more severe risk...
A team of research fellows led by Professor Geoff Hall is developing AI tools to support ovarian cancer research in Leeds. The work aims to...
With improved care and treatment, more individuals are living longer after their heart attack. Unfortunately this means that the chance of developing other conditions over...
Uptake of schemes encouraging farmers to help improve and maintain the environment varies across England, the main factors influencing uptake are having previous experience and...
This project developed a dashboard using R Shiny in order to investigate insights regarding a proposed motorbike ban in Hanoi. The dashboard will be used...
OpenStreetMap data has the potential to transform how transport infrastructure planning is done, yet currently its application for (accessible) active travel infrastructure planning is restricted...
Introduction Why is it that in a Megacity with 8 million people, 90% of the vehicles driven are motorbikes? What are the underlying factors influencing...
The CoSMoNorth project was introduced to build and calibrate a baseline urban simulation (or ‘digital twin’) of mobility and activity of the Northern Powerhouse region...
Travel can influence public health in a variety of ways, including air pollution, personal safety, and the spread of infectious diseases such as Covid-19. Work...