Zobrazeno 1 - 10
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pro vyhledávání: '"event data identification"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 3, Pp 473-483 (2020)
Phasor measurement units (PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitt
Externí odkaz:
https://doaj.org/article/6a1e281b16264970bd4778b5a6719ca1
Autor:
Divya, P.1 (AUTHOR) divya6511@gmail.com, Suresh, S.1 (AUTHOR)
Publikováno v:
Communications in Statistics: Case Studies & Data Analysis. 2023, Vol. 9 Issue 4, p378-401. 24p.
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 3, Pp 473-483 (2020)
Phasor measurement units (PMUs) can provide real-time measurement data to construct the ubiquitous electric of the Internet of Things. However, due to complex factors on site, PMU data can be easily compromised by interference or synchronization jitt
Akademický článek
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Publikováno v:
2015 IEEE 39th Annual Computer Software & Applications Conference; 2015, p217-222, 6p
Autor:
Diba, Kiarash1 (AUTHOR) kiarash.diba@hpi.de, Batoulis, Kimon1 (AUTHOR), Weidlich, Matthias2 (AUTHOR), Weske, Mathias1 (AUTHOR)
Publikováno v:
WIREs: Data Mining & Knowledge Discovery. May/Jun2020, Vol. 10 Issue 3, p1-24. 24p.
Publikováno v:
2015 IEEE 39th Annual Computer Software and Applications Conference.
This paper proposes an event data extraction method that extracts business event data, such as coupons, tickets, sales campaigns, etc., from a homepage or blog of shops and pushes them to users. Users no longer need to browse their favorite shops' ho
Autor:
Jefferson, Theresa L.
Publikováno v:
VINE: The Journal of Information & Knowledge Management Systems; 2006, Vol. 36 Issue 3, p261-264, 4p, 1 Black and White Photograph
Autor:
Simon Ashby
Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals
Autor:
Genshiro Kitagawa, Will Gersch
Smoothness Priors Analysis of Time Series addresses some of the problems of modeling stationary and nonstationary time series primarily from a Bayesian stochastic regression'smoothness priors'state space point of view. Prior distributions on model co