-
Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
-
are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
-
environment to streamline and optimise production processes. Manufacturing automation systems attempt to achieve enhanced human-machine interactions with a view to improving efficiency, productivity and the
-
political economy of freshwater governance and freshwater pollution B. Establish the relationship between public perception and freshwater governance C. Identify how freshwater ecologies, physiologies and
-
The ever-increasing use of data in real-world applications is a clear indication that we are moving into the era of Industry 5.0 where human-machine collaboration would be key to enable digital
-
. The programme aims to develop a deeper, holistic understanding of the interactions between humans and the environment to support sustainable solutions to the environmental challenges affecting our river, lake
-
of cybersecurity, ensuring that organisations can safeguard their digital assets with agility and effectiveness, even in the face of dynamic and persistent security challenges. The importance of the project lies in
-
This is a full funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with Rolls-Royce and EPSRC. The focus of the research is on the aerodynamic design and optimisation of aero-engine nacelles and the integration with the airframe. The project will investigate advanced...
-
especially true in critical applications where a failure could result in significant financial loss, environmental damage, or harm to human lives. Moreover, the inclusion of advanced battery management and
-
human language surprisingly well, yet fail remarkably at very simple logical reasoning. In this project, we will investigate the recent field of study of Causal Machine Learning, which aims to modify and