Zobrazeno 1 - 10
of 545
pro vyhledávání: '"time series segmentation"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-16 (2023)
Abstract Accurate parameter estimation in radar systems is critically hindered by multipath interference, a challenge that is amplified in complex and dynamic environments. Traditional methods for parameter estimation, which concentrate on single par
Externí odkaz:
https://doaj.org/article/49f923df91b74c9eab8a615abb9b7e84
Publikováno v:
Sensors, Vol 24, Iss 13, p 4067 (2024)
Global Positioning Systems (GPSs) can collect tracking data to remotely monitor livestock well-being and pasture use. Supervised machine learning requires behavioral observations of monitored animals to identify changes in behavior, which is labor-in
Externí odkaz:
https://doaj.org/article/13436b56aa66482b85810d971de716f4
Publikováno v:
IEEE Access, Vol 11, Pp 120845-120856 (2023)
A wide range of Machine Learning algorithms can model time series to address classification, forecasting, and clustering problems. However, time series may exhibit characteristics that complicate these tasks, such as repeating patterns and seasonal v
Externí odkaz:
https://doaj.org/article/a4b2c1c7807f4060bf845a5676023802
Publikováno v:
Energies, Vol 17, Iss 6, p 1424 (2024)
A digital twin is recognized as a pivotal technology in a new type of power system monitoring as it provides an effective method for monitoring the vibration caused by ice shedding in overhead transmission lines. The digital twin model differs from t
Externí odkaz:
https://doaj.org/article/16bd3598413d40fe8da4bc12318a38d7
Akademický článek
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Autor:
Lisa Gutzeit, Frank Kirchner
Publikováno v:
IEEE Access, Vol 10, Pp 125723-125734 (2022)
During the last years, new approaches were proposed in which robotic behavior is generated by imitating human movement examples. This process can be sustainably simplified by an automatic detection of the movement sequences which should be imitated.
Externí odkaz:
https://doaj.org/article/30e8544b4c82481f990b61f06205009d
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 9, Pp 158456-158469 (2021)
Analysis of human driving behavior aims to inspect drivers’ behavior in the real-world and in a virtual environment. The study of driving behaviors can be conducted in naturalistic situations or controlled experiments. Analyzing driving behaviors b
Externí odkaz:
https://doaj.org/article/0ca54f80f03342a6aaf3f7ac906823da
Autor:
Taemin Heo, Lance Manuel
Publikováno v:
Progress in Disaster Science, Vol 14, Iss , Pp 100221- (2022)
Non-stationary climate data are often encountered in dealing with natural hazards, climate change and disaster reduction. With drought, for instance, it is common to encounter such non-stationary data sets (time series). The objectives of this work a
Externí odkaz:
https://doaj.org/article/bfd5084af1404550b1a5fd8a6ea82701