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Integrating wireless communication engineering and machine learning

Integrating wireless communication engineering and machine learning is a science project.

Event research_grant eu_cordis:813999
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Key Facts

  • Start time: January 1, 2019[1]
  • End time: June 30, 2023[2]
  • Participant: Aalborg University[3], EURECOM[4], Telecommunications Technology Center of Catalonia[5], Aalto University[6], University of Padua[7], Ericsson AB[8], eu_cordis_org:950760051[9], eu_cordis_org:993322002[10], ETH Zurich[11], Robert Bosch[12], eu_cordis_org:909089627[13], eu_cordis_org:999836134[14], eu_cordis_org:967538432[15], eu_cordis_org:968428116[16]
  • Short name: WINDMILL[17]
  • Budget: 4072823.64 euro[18]
  • Funding scheme: Horizon 2020[19]

References

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Direct Wikidata claims

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  19. [19] ↑ . wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Integrating wireless communication engineering and machine learning. Retrieved October 8, 2026, from https://4ort.xyz/entity/integrating-wireless-communication-engineering-and-machine-learning
MLA “Integrating wireless communication engineering and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/integrating-wireless-communication-engineering-and-machine-learning.
BibTeX @misc{4ortxyz_integrating-wireless-communication-engineering-and-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating wireless communication engineering and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-wireless-communication-engineering-and-machine-learning}, note = {Accessed: 2026-10-08}}
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