Result description
We created machine learning models that boost the selectivity of gas sensors, helping them tell apart similar pollutants like NO2 and NH3, even in complex environments. Trained on actual sensor data, they improve accuracy under varying conditions and can be integrated into intelligent, low-power air monitoring systems.
Addressing target audiences and expressing needs
- Use of research Infrastructure
- Collaboration
- Fellowship to advance my/our research
We seek sensor manufacturers, software companies focused on embedded machine learning, and public and private partners building digital environmental monitoring networks.
- Public or private funding institutions
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Our machine learning models are validated using gas sensor data and are ready for integration. We seek funding to develop user-friendly software tools, embed the models into commercial sensor systems, and conduct large-scale field trials. We welcome interest from private investors, public funders, and sensor tech companies.
Result submitted to Horizon Results Platform by UNIVERSITY COLLEGE CORK – NATIONAL UNIVERSITY OF IRELAND, CORK
