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  2. Introduction to the ML Component of the TransCPEarlyWarning Platform
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Introduction to the ML Component of the TransCPEarlyWarning Platform

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Introduction to the ML Component of the TransCPEarlyWarning Platform
Eguru

The project addresses the challenges of enhancing level of uniformity, homogeneity and similarity of existing CP Early Warning, efficiently integrating them to predict risks, present alert levels and improve exchange of information with EU CP Mechanism.This approach is built on 3 pillars:Participatory process with the establishment of a networking structure as stable cooperation relationship between project partners, civil protection organizations and main stakeholders with long term perspective.

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Industrial Systems Institute, ATHENA RC

Patras Science Park, Platani, Patras, 26504, Greece

E-mail: info@isi.gr

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