Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fredrik Petré"'
Autor:
Martin Lindvall, Alexander Sanner, Fredrik Petré, Karin Lindman, Darren Treanor, Claes Lundström, Jonas Löwgren
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 27-27 (2020)
Background: Recent advancements in machine learning (ML) bring great possibilities for the development of tools to assist with diagnostic tasks within histopathology. However, these approaches typically require a large amount of ground truth training
Externí odkaz:
https://doaj.org/article/150934ae7bb14fcb9b622a5b6f3a0190
Publikováno v:
International Journal of Prognostics and Health Management, Vol 6, Iss 1 (2015)
This paper brings up a novel method for detecting induction motor stator winding faults at an early stage. The contribution of the work comes from the delicate handling of motor vibration by applying envelope analysis, which makes it possible to capt
Externí odkaz:
https://doaj.org/article/df314d6b5fc943a4a576fe273e976971
Autor:
Karin Lindman, Darren Treanor, Jonas Löwgren, Fredrik Petré, Martin Lindvall, Claes Lundström, Alexander Sanner
Publikováno v:
Journal of Pathology Informatics
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 27-27 (2020)
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 27-27 (2020)
Background: Recent advancements in machine learning (ML) bring great possibilities for the development of tools to assist with diagnostic tasks within histopathology. However, these approaches typically require a large amount of ground truth training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c01af9de375e48ec64f619969c69af15
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168487
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168487
