Verified email-pattern data for Prin-Italert Project is currently limited. You can still use the company insights and contact sections below.
The PRIN-ITALERT (Prediction of Rainfall-INduced landslides – Improving multi-scale TerritoriAL Early warning through aRTificial intelligence) project aims at improving the operational prediction of rainfall-induced landslides over large areas taking advantage of both rainfall thresholds defined using satellite-based rainfall products and innovative approaches based on artificial intelligence algorithms, in particular, Random Forest and Artificial Neural Networks.
PRIN-ITALERT project is funded by the European Union NextGenerationEU program and the Italian Ministry of University and Research within the call "PRIN: Progetti Di Ricerca Di Rilevante Interesse Nazionale – Bando 2022"
Company Details
- Address
- Perugia, It
- Industry
- Executive Search Services
- HQ
- Perugia
Prin-Italert Project Questions
PRIN-ITALERT project's website is https://www.irpi.cnr.it/en/project/prin-italert/
PRIN-ITALERT project's LinkedIn profile is https://it.linkedin.com/company/prin-italert-project
PRIN-ITALERT project's industry is
Executive Search Services
PRIN-ITALERT project's top competitors are
Geologia Ferrara Srl,
Synthesis S.r.l.,
Geo-Controlli,
3c Srl - Consulenza Ambiente E Territorio,
Geo Eng Ingegneria Srl,
Gaia Servizi Civili E Industriali S.r.l.,
Geo+bau S.r.l.,
Crewell Wellpoint,
Collaborative Center For Landslide Geohazards,
Geo S.r.l.
PRIN-ITALERT project's categories are Executive Search Services
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