Hess (United States)

Requirements for numeric models as sources of synthetic data for predicting real-world data sets in progressive deep drawing processes

Abstract In the field of forming technology, synthetic data generated by finite element (FE) simulations is increasingly being used to train machine learning (ML) models for part quality prediction. However, the predictive accuracy on real-world process data is often limited by t...

36 The cost of a brain tumour: The Economic Case for Urgent Action

Abstract Introduction Each year over 13,000 people are diagnosed with brain tumours in the UK and 5,400 people lose their lives. Brain tumours have a substantial impact on individual health and on wider society; however, little research has been conducted to estimate the overall...