Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Nottingham
- University of Exeter;
- Swansea University
- University of Exeter
- Imperial College London;
- Loughborough University
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- The University of Manchester
- University of Cambridge;
- Swansea University;
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham;
- University of Cambridge
- University of Sheffield
- University of Surrey
- University of Warwick;
- Imperial College London
- Manchester Metropolitan University;
- UNIVERSITY OF VIENNA
- University of East Anglia
- University of East Anglia;
- University of Liverpool
- University of Newcastle
- University of Oxford
- University of Plymouth;
- University of Sheffield;
- University of Warwick
- Abertay University
- Bangor University
- Brunel University London
- City St George’s, University of London
- Cranfield University;
- Edinburgh Napier University;
- King's College London
- King's College London Department of Engineering
- Lancaster University
- Newcastle University;
- The University of Edinburgh;
- UCL
- UWE, Bristol
- University of Bradford;
- University of Bristol;
- University of Essex;
- University of Glasgow
- University of Hertfordshire
- University of Hull
- University of Leeds;
- University of Manchester
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- 47 more »
- « less
-
Field
-
, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
-
to understand these dynamics. This project proposes a novel pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses
-
regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
-
. Agents will be trained to detect and respond to false data injection, denial-of-service (DoS), and topology attacks through adversarial training and robust policy learning [8]-[10]. This approach will
-
methods to enable efficient structural simulation of novel aircraft configurations – essential as aviation transitions to alternative fuels. These methods will also expand the role of simulation in
-
continuous operations at lab scale. In Situ Product Recovery (ISPR) evaluation: Test ISPR methods to boost productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis
-
integrates real-time environmental data and physiological information to simulate and forecast how marine turtle populations respond to changing thermal conditions. The proposed Digital Twin for Marine Turtle
-
training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
-
control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
-
REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with