FIREMAN – Framework for the Identification of Rare Events via Machine Learning and IoT Networks

Posters European Corner 2021

Nom i cognoms / Name and surname
Charalampos Kalalas

Afiliació / Affiliation
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Programa de finançament europeu en que s’enmarca aquest projecte? / European funding programme in which this project is being carried out?
EU support (FP7, H2020, etc.) other than MSCA

Títol del projecte / Project title
FIREMAN – Framework for the Identification of Rare Events via Machine Learning and IoT Networks

Número del projecte / Project number

Breu explicació del projecte / Brief explanation of your project
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.

Enllaç a la pàgina web del projecte / Link to your project website

Repte en que s’emmarca aquest projecte / Challenge within the framework of this project
Does not apply


Amb el suport de:

Amb el finançament de:

Aquest projecte està cofinançat pel programa de recerca i innovació Horizon Europe de la Unió Europea sota el projecte NitRecerCat (101061189).

This project is co-funded by the European Union’s research and innovation programme Horizon Europe, under the project NitRecercat (101061189).