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Background: There is increasing evidence for the beneficial effects of positive health behaviours, such as regular physical activity (PA) and a healthy diet, on cancer outcomes. The World Cancer Research Fund (WCRF) therefore recommends those living with and beyond cancer (LWBC) follow their PA and dietary guidelines for cancer prevention. However, there is a lack...
Abstract: Numerical modelling is a reliable tool for flood simulations, but accurate solutions are computationally expensive. In the recent years, researchers have explored data-driven methodologies based on neural networks to overcome this limitation. However, most models are used only for a specific case study and disregard the dynamic evolution of the flood wave. This limits...
Friday 18th November - 11am – 12:30 pm University of Leeds - Worsley Seminar Room 8.20Q Speaker - Dr Claire Heaney (Imperial College London) Abstract: This presentation will summarise a couple of research directions involving machine learning and computational science before focusing on the main topic of data-driven reduced-order models (DDROM). Often involving neural networks,...
Monday 24th October 10am - 12pm University of Leeds (room tbc) The LIDA Artificial Intelligence programme are delighted to welcome Lorenzo Zanisi for a guest seminar on the use of AI and HPC to solve remaining problems to unlocking Fusion power. After a 45minute talk from Lorenzo, there will be a Q&A and the opportunity...
Click here to watch this seminar Presentation 1: Urban Transport Modelling for Sustainable Well-Being in Hanoi: Implementing a new traffic model By: Eric Wanjau Abstract: Many cities are expanding rapidly, but formal infrastructure is failing to keep pace with the burgeoning population. This is further complicated by the emergence of informal transport infrastructures that develop...
Click here to watch this seminar Presentation 1: Inferring dwelling occupancy patterns from high temporal resolution water metering data By: Jacob van Alwon Abstract: High temporal-resolution water consumption data – collected at the dwelling level via smart metering – could offer a non-intrusive means of inferring dwelling occupancy patterns. Non-intrusive approaches to infer dwelling occupancy...
Click here to watch this Seminar Presentation 1: Geodemographic analysis of the impact of COVID-19 on urgent cancer referrals using local and national data set By: Ifeanyi Chukwu Abstract: The COVID-19 pandemic has had a profound effect on the “normal” flow of things everywhere. The impact was even more devastating on urgent cancer referrals early in...
Click here to watch this seminar Presentation 1: AuguR: a scalable open-source interactive cancer analytics web application for routinely collected data By: Paul Truman For more information, click here. Presentation 3: Spatial analysis of the COVID-19 pandemic in Bradford By: George Breckenridge For more information, click here. Presentation 3: Evaluating strategies to promote healthier and more sustainable dietary choices...
Click here to watch this seminar. Presentation 1: Cohort Creation Library for The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) By: Millie Wagstaff For more information, click here. Presentation 2: Exploring the Life Course of Young Children with Dental Decay By: Sam Relins For more information, click here. Presentation 3: Measuring Ambient Populations during COVID...
Click here to watch this Seminar. Presentation 1: Automating a Nutrient Profiling Model By: Rosalind Martin For more information, click here. Presentation 2:A mass-market appraisal of the English commercial rental market using Machine Learning By: Simon Leech For more information, click here. For more information, click here.