Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Stefano Garlaschi"'
Autor:
José A. del Peral-Rosado, Ali Y. Yildirim, Nils C. Klinger, Patric Nolle, Sara M. Razavi, Sagar Parsawar, Rakesh Mundlamuri, Florian Kaltenberger, Niilo Sirola, Stefano Garlaschi, Luca Canzian, Jukka Talvitie, Detlef Flachs
Publikováno v:
Engineering Proceedings, Vol 54, Iss 1, p 6 (2023)
Dedicated fifth generation (5G) positioning networks are envisaged as a key technology to complement Global Navigation Satellite Systems (GNSS) in challenging situations, such as safety-critical automotive and aerial applications. These 5G networks a
Externí odkaz:
https://doaj.org/article/e1c6c8fc90a24eb8ba83fcecfaff3e33
Publikováno v:
Entropy, Vol 22, Iss 10, p 1084 (2020)
Recent technological and computational advances have enabled the collection of data at an unprecedented rate. On the one hand, the large amount of data suddenly available has opened up new opportunities for new data-driven research but, on the other
Externí odkaz:
https://doaj.org/article/32742db92dc941cc872bf04cfda5be40
Autor:
José A. del Peral-Rosado, Patric Nolle, Fabian Rothmaier, Sara M. Razavi, Gustav Lindmark, Xiaolin Jiang, Deep Shrestha, Fredrik Gunnarsson, Sagar Parsawar, Rakesh Mundlamuri, Florian Kaltenberger, Niilo Sirola, Olli Särkkä, Uzair A. Noman, Juha Roström, Kim Vaarala, Pasi Miettinen, Stefano Garlaschi, Luca Canzian, Huseyin Babaroglu, Elizaveta Rastorgueva-Foi, Matias Turunen, Jukka Talvitie, Detlef Flachs
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1cd6bb31af65fd8b0cb1c3e58b9c37e
https://doi.org/10.33012/2022.18384
https://doi.org/10.33012/2022.18384
Local coexistence of species in large ecosystems is traditionally explained within the broad framework of niche theory. However, its rationale hardly justifies rich biodiversity observed in nearly homogeneous environments. Here we consider a consumer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4d5ad60aa32cf816e01b7c79a7335d
http://hdl.handle.net/11577/3406029
http://hdl.handle.net/11577/3406029
Regular spatial structures emerge in a wide range of different dynamics characterized by local and/or nonlocal coupling terms. In several research fields this has spurred the study of many models, which can explain pattern formation. The modulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ab43f145c6def9829ab6b37291d3b8
http://arxiv.org/abs/2007.06383
http://arxiv.org/abs/2007.06383
Publikováno v:
Entropy
Volume 22
Issue 10
Entropy, Vol 22, Iss 1084, p 1084 (2020)
Volume 22
Issue 10
Entropy, Vol 22, Iss 1084, p 1084 (2020)
Recent technological and computational advances have enabled the collection of data at an unprecedented rate. On the one hand, the large amount of data suddenly available has opened up new opportunities for new data-driven research but, on the other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed90e2ff3c5c3a0f77bfad273062bde
http://hdl.handle.net/11577/3369428
http://hdl.handle.net/11577/3369428