Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- The University of Manchester
- University of Exeter
- Loughborough University;
- Imperial College London
- University College London
- University of Warwick
- AALTO UNIVERSITY
- Edge Hill University
- Imperial College London;
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London;
- Swansea University
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Manchester;
- UCL
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Birmingham;
- University of Cambridge
- University of Essex
- University of Essex;
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- University of Surrey
- University of Surrey;
- University of Westminster
- 21 more »
- « less
-
Field
-
algorithms that allow robots to refine their control strategies based on observed human behaviour. Collaboration: The project will benefit from extending existing collaborations between the University
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
-
direction) (White et al., 2021). This likely leads to an underrepresentation of a players training and match exposure. Recently, a sequential movement pattern-mining (SMP) algorithm has been developed
-
and misalignment, facilitating the development and validation of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining