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    Machine learning for smarter, more sustainable metallurgical processes

    Increased soil water retention through sub-surface installed BioWAGs at the GEORGIA pilot site in Serbia

    GEORGIA pilots turn alternative water resources into practical irrigation solutions

    STELLA Press Release

    STELLA partners meet in Colmar to advance plant health innovation

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    Themis reusable launcher first stage prototype conducts a flight chronology rehearsal

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Ended | Online | 28 and 30 April | CISUFLO – exCITE Online Events Series

by WIT News editor
30/04/2025
in Events & courses, Webinars & online courses
exCITE-Online-Events-Series

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The EU-funded CISUFLO – CIrcular SUstainable FLOor coverings project invites you to join exCITE – Exploring Circular Innovation Through Europe, a new series of free online events focused on circular economy solutions across key industrial sectors.
 
Over four online sessions, industry experts, researchers, and innovators will present practical strategies and technologies to improve traceability, recycling, and sustainability in product lifecycles.

Events Programme:

01. Circularity of floor coverings & the Upstream plastic sector

28 April 2025 | 10.00 – 11.30 CET
Registration: https://de.surveymonkey.com/r/KZJWDGP

02. Circularity of floor coverings & the Textile sector

28 April 2025 | 14.30 – 16.00 CET
Registration: https://de.surveymonkey.com/r/8L27BXG

03. Circularity of floor coverings in the built environment

30 April 2025 | 10.00 – 11.30 CET
Registration: https://de.surveymonkey.com/r/K5VRM63

04. Floor coverings & the Downstream plastics sector

 30 April 2025 | 14.30 -16.00 CET
 Registration: https://de.surveymonkey.com/r/8LKRVN6
 
All sessions will be held in English and are open to the public with free registration.
 
More about CISUFLO: www.cisuflo.eu

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Workshop Decarbonization Strategies and AIML Solutions for the Metallurgical Industry

30 September | HAlMan Workshop | Decarbonization Strategies and AI/ML Solutions for the Metallurgical Industry

16/09/2026
Discover how HAlMan uses machine learning, process optimization and soft sensors to support smarter, more efficient and sustainable metallurgical production.

Machine learning for smarter, more sustainable metallurgical processes

16/09/2026
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