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of 7
pro vyhledávání: '"Alfred Höß"'
Artificial intelligence (AI) is continuously evolving and assuming an increasingly ubiquitous role in our daily lives. New models are capable of handling increasingly complex tasks. At the same time, new strategies and optimized hardware enable more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab026e1308a937ed321ccefeefd1bb04
Prospering by the continuous improvements in computation performance during the last decade, Artificial Intelligence (AI) undergoes its renaissance in the previous years. Progressing digitization provides the amount of data, which are required to lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f14a7cc49fcbf7f7e8825177a8b7e1b
Publikováno v:
Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance
Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance, River Publishers, pp.1-71, 2022, 9788770226103. ⟨10.13052/rp-9788770226103⟩
Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance, River Publishers, pp.1-71, 2022, 9788770226103. ⟨10.13052/rp-9788770226103⟩
This book lays down the technological foundation for and introduces key artificial intelligence (AI) concepts and technologies for the digitising industry. While this chapter does not exhaustively cover all types of AI, it comprehensively prioritises
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67bb26bfd308ca5f528e2777247f6a73
Autor:
Mathias Schneider, Mina Marmpena, Haris Zafeiris, Ruben Prokscha, Seifeddine Saadani, Nikolaos Evangeliou, George Bravos, Alfred Höß
Publikováno v:
Artificial Intelligence for Digitising Industry – Applications ISBN: 9781003337232
Data-driven approaches will be a pivotal tool to interpret traffic data and to optimise operations to enable more efficient, individual, public transport. Whereas nowadays data remain a proprietary resource, Finland pioneered an open ecosystem. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be6bc2c74d4932f33f69b4c33636acd
We present a novel dataset captured from a BMW X5 test carrier within the German research project KI-ASIC for use in radar sensor development and autonomous driving research. Our work aims at providing a blueprint for the process of creating labeled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64f57a120d99806eba5d059ede3580a4
https://doi.org/10.36227/techrxiv.22680358.v1
https://doi.org/10.36227/techrxiv.22680358.v1
Conference
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Conference
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