Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Predictive monitoring"'
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 7, Pp 6111-6124 (2022)
ABSTRACT: Bovine respiratory disease (BRD) continues to be a leading cause of economic loss, hampered animal welfare, and intensive antimicrobial use in cattle operations worldwide. Reduction of antimicrobial use is hindered because it is still uncle
Externí odkaz:
https://doaj.org/article/0ec271a6548741e0ad8af00997af55d6
Akademický článek
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Autor:
Jongchan Kim, Marco Comuzzi
Publikováno v:
IEEE Access, Vol 9, Pp 133461-133471 (2021)
Outcome-based predictive process monitoring deals with predicting the outcomes of running cases in a business process using feature vectors extracted from completed traces in an event log. Traditionally, in outcome-based predictive monitoring, a diff
Externí odkaz:
https://doaj.org/article/f4167ac0776d4a2bb6df9d75a84c37cd
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100306- (2022)
Money laundering is a global threat to society nowadays. Governments and governmental authorities fight money laundering, in part, by regulating banks and financial institutions. Financial institutions, in turn, are obligated to implement mechanisms
Externí odkaz:
https://doaj.org/article/51afe5053cf74bc094dabb3a0a977bae
Autor:
Alfonso E. Marquez-Chamorro, Kate Revoredo, Manuel Resinas, Adela Del-Rio-Ortega, Flavia M. Santoro, Antonio Ruiz-Cortes
Publikováno v:
IEEE Access, Vol 8, Pp 222050-222063 (2020)
It is well-known that context impacts running instances of a process. Thus, defining and using contextual information may help to improve the predictive monitoring of business processes, which is one of the main challenges in process mining. However,
Externí odkaz:
https://doaj.org/article/e9f6f331580c4922aa8269252176114a
Akademický článek
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Akademický článek
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This paper addresses the necessity of a correct hydraulic accumulator pre-charge pressure for the optimum performance and in some cases even the essential function of the corresponding hydraulic application. In this context HYDAC has developed a smar
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A71206
https://tud.qucosa.de/api/qucosa%3A71206/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A71206/attachment/ATT-0/
Publikováno v:
Sensors, Vol 22, Iss 24, p 9861 (2022)
The commercially available battery management and mission scheduling systems for fleets of autonomous mobile robots use different algorithms to calculate the current state of charge of the robot’s battery. This information alone cannot be used to p
Externí odkaz:
https://doaj.org/article/92d61be01d44433d8f7ba48750888e8b
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 7, Pp 1-10 (2019)
We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using machine learning for the early prediction of critical cardiorespiratory alarms. During this study in over 34,000 patient monitoring hours in 55 infants 27
Externí odkaz:
https://doaj.org/article/fe49ab944cd641ff92afc13a5bcf338a