Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Apply and key information This project is funded by: Department for the Economy (DfE) Summary Hip replacement is one of the most successful surgical procedures, with over 100,000 operations carried out annually in the UK to relieve pain and restore mobility. Despite its success, some patients...
-
and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
-
monitoring system will support control of welding parameters and help optimize robot tool paths. The aim is to achieve a right-first-time approach, with additional benefits of reducing energy and material
-
computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed
-
an optimized solution with renewable energy (RE) implementation for power generation to replace fossil fuels. The effects of reducing greenhouse gases through the implementation of renewable energy sources
-
, latency, data privacy, and model interpretability in safety-critical environments. The project’s objectives are to design lightweight, edge-deployable model architectures, optimize their reasoning and
-
H, Asiabanpour B (2024) (A circular economy integration approach into vertical farming with computer-based simulation model for resource optimization and waste reduction, Journal of Cleaner Production
-
window) Cozza, S., Chambers, J., Brambilla, A., & Patel, M. K. (2021). In search of optimal consumption: A review of causes and solutions to the energy performance gap in residential buildings. Energy and
-
Apply and key information This project is funded by: Department for the Economy (DfE) Summary There is both growing anxiety and optimism around the use of Artificial Intelligence (AI) in
-
process modifications post treatment. To leverage the data from ‘2’ above to monitor the effects of modifying therapy parameters with a view towards therapy optimization. Important Information: Applications