Sort by
Refine Your Search
-
Category
-
Field
-
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
-
remediation risk management Supervisors: At Cranfield we place great importance on supervision and the relationship a student has with his or her supervisor. The relationship is intended to be a stimulating and
-
. 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
-
the interactions between humans and the environment to support sustainable solutions to the environmental challenges affecting our river, lake, wetland, and groundwater ecosystems. To find more information on the
-
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
-
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
-
and Training Hub will run online and face-to-face activities to facilitate cohort building and group learning exercises throughout the PhD programme. The duration of the PhD is 4 years, and the start