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Sensing based evidence and decision systems

The research will focus on: i) whole IoT/WSN system co-designs that support evidence gathering and decision making in real-time, provide an accurate representation of measured phenomena, are robust and long-lived and ii) machine learning strategies for data mining in distributed sensing and control architectures.

We will examine the full chain of design, implementation, deployment and data consumption in scenarios addressed by the project.

The research leading to these results has received funding from the EPSRC Global Challenges Research Fund under grant agreement n° EP/P029531/1.
| The research presented in this website has undergone ethical approval at Coventry University reference: P61091.