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

logo-fireman
Start: 01 May 2019
End: 01 May 2022
Funding: European
Status: Ongoing
Division: Communication Technologies
Department: Machine to Machine Communications (M2M)
Web:  https://fireman-project.eu/

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.

  • Trinity College Dublin (TCD)
  • ATHENS INFORMATION TECHNOLOGY (AIT)
  • LUT University
  • SEAT,S.A
  • Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
  • University of Oulu