Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Moritz Heusinger"'
Autor:
Bastian Engelmann, Anna-Maria Schmitt, Moritz Heusinger, Vladyslav Borysenko, Niklas Niedner, Jan Schmitt
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Changeover events occur in every industrial production when a machine is prepared and setup for production of the next product variant. Changeover times must be acquired with a high degree of validity for product cost calculations, order sequencing,
Externí odkaz:
https://doaj.org/article/505a8e7db95a42f28c426c2f96b0e3b0
Autor:
Eddi Miller, Vladyslav Borysenko, Moritz Heusinger, Niklas Niedner, Bastian Engelmann, Jan Schmitt
Publikováno v:
Sensors, Vol 21, Iss 17, p 5896 (2021)
Changeover times are an important element when evaluating the Overall Equipment Effectiveness (OEE) of a production machine. The article presents a machine learning (ML) approach that is based on an external sensor setup to automatically detect chang
Externí odkaz:
https://doaj.org/article/c2e17a3a88d64cab91648cbae17be103
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21123c276d2371f99fe50cb9882a3708
https://doi.org/10.1007/978-3-031-23480-4_8
https://doi.org/10.1007/978-3-031-23480-4_8
Publikováno v:
Procedia CIRP. 112:140-145
In recent years the applications of machine learning models have increased rapidly, due to the large amount of available data and technological progress.While some domains like web analysis can benefit from this with only minor restrictions, other fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a442da1f2935ec7c810a79a18174924e
http://arxiv.org/abs/2212.11729
http://arxiv.org/abs/2212.11729
Publikováno v:
Evolving Systems. 13:387-401
In recent years social media became an important part of everyday life for many people. A big challenge of social media is, to find posts, that are interesting for the user. Many social networks like Twitter handle this problem with so-called hashtag
Publikováno v:
Neurocomputing. 416:340-351
The amount of real-time communication between agents in an information system has increased rapidly since the beginning of the decade. This is because the use of these systems, e.g. social media, has become commonplace in today’s society. This requ
Publikováno v:
Neural Computing and Applications. 34:89-100
Concept drift is a change of the underlying data distribution which occurs especially with streaming data. Besides other challenges in the field of streaming data classification, concept drift has to be addressed to obtain reliable predictions. Robus
Autor:
Jan Schmitt, Eddi Miller, Moritz Heusinger, Bastian Engelmann, Vladyslav Borysenko, Niklas Niedner
Publikováno v:
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5896, p 5896 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 17
Sensors, Vol 21, Iss 5896, p 5896 (2021)
Sensors (Basel, Switzerland)
Changeover times are an important element when evaluating the Overall Equipment Effectiveness (OEE) of a production machine. The article presents a machine learning (ML) approach that is based on an external sensor setup to automatically detect chang
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030850296
IWANN (1)
IWANN (1)
In non-stationary environments, several constraints require algorithms to be fast, memory-efficient, and highly adaptable. While there are several classifiers of the family of lazy learners and tree classifiers in the streaming context, the applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02600a91a21f23569fe2f1d285ba6059
https://doi.org/10.1007/978-3-030-85030-2_11
https://doi.org/10.1007/978-3-030-85030-2_11