FIREMAN - Framework for the Identification of Rare Events via MAchine learning and IoT Networks

Ico_CTTC
Start: 01/05/2019
End: 30/04/2023
Funding: European
Status: On going
Research unit:
Sustainable Artificial Intelligence (SAI)
Acronym: FIREMAN
Call ID: PCI2019-103780
Code: PCI2019-103780

FIREMAN (Framework for the Identification of Rare Events via MAchine learning and IoT Networks) is a European research project funded under the CHIST-ERA scheme. FIREMAN aims to build an architecture with a strong interplay among several research areas, i.e., large-scale data acquisition, big data fusion and big data analytics, towards a highly-integrated cyber-physical system design at all data-processing levels.

The overall objective of FIREMAN is to design, develop and showcase a novel big-data based framework that encompasses all steps from sensing and data acquisition to statistical analysis and operational decisions, to accurately identify, detect, forecast and prevent rare events in a pre-determined industrial physical process.

Charalampos Kalalas
PI/Project Leader
Pavol Mulinka
Researcher
UNIVERSITY OF TECHNOLOGY
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