CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
FUDIPO integrates machine learning into critical process industries to enhance energy and resource efficiency. The project aims to develop demonstrators that optimize production processes and improve competitiveness in sectors like pulp and paper and energy.
Machine learning have revolutionized the way we use computers and is a key technology in the analysis of large data sets.
The FUDIPO project will integrate machine learning functions on a wide scale into several critical process industries, showcasing radical improvements in energy and resource efficiency and increasing the competitiveness of European industry.
The project will develop three larger site-wide system demonstrators as well as two small-scale technology demonstrators.
For this aim,…
MALARDALENS UNIVERSITET
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Türkiye, ISTANBUL
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Austria, WIEN
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
