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:

european commission
Aquest projecte rep fons dels programes de recerca i innovació Horitzó 2020 de la Unió Europea en el marc del projecte EuNightCat (954506)

This project receives funding from the European Union’s Horizon 2020 research and innovation programs under the project EuNightCat (954506).