Zobrazeno 1 - 10
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pro vyhledávání: '"Loparo Kenneth A"'
Autor:
Zemskov, Alexander D., Fu, Yao, Li, Runchao, Wang, Xufei, Karkaria, Vispi, Tsai, Ying-Kuan, Chen, Wei, Zhang, Jianjing, Gao, Robert, Cao, Jian, Loparo, Kenneth A., Li, Pan
In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation abilities to predict, refine, and interpret conditions and operations, where it is crucial to emphasize a heightened concentration on the associated security a
Externí odkaz:
http://arxiv.org/abs/2412.13939
Autor:
Wang, Jinsong, Loparo, Kenneth A.
Non-Intrusive Load Monitoring (NILM) is an energy efficiency technique to track electricity consumption of an individual appliance in a household by one aggregated single, such as building level meter readings. The goal of NILM is to disaggregate the
Externí odkaz:
http://arxiv.org/abs/2303.03538
Autor:
Wang, Jinsong, Loparo, Kenneth A.
The wind energy industry has been experiencing tremendous growth and confronting the failures of wind turbine components. Wind turbine gearbox malfunctions are particularly prevalent and lead to the most prolonged downtime and highest cost. This pape
Externí odkaz:
http://arxiv.org/abs/2303.03496
Bedside monitoring tools and advanced signal processing approaches to monitor critically-ill infants
Autor:
Govindan, R.B., Loparo, Kenneth A.
Publikováno v:
In Seminars in Fetal and Neonatal Medicine November 2024 29(4-5)
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P322 (2009)
Externí odkaz:
https://doaj.org/article/c007c96e56c742c8a400554bd694112c
Publikováno v:
2020 IEEE 14th International Conference on Semantic Computing (ICSC)
Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can make it difficult to use the data effectively. In order to measure the e
Externí odkaz:
http://arxiv.org/abs/2002.03203
Autor:
Sun, Yingcheng, Loparo, Kenneth
Publikováno v:
2019 19th Industrial Conference on Data Mining
Image annotation for active learning is labor-intensive. Various automatic and semi-automatic labeling methods are proposed to save the labeling cost, but a reduction in the number of labeled instances does not guarantee a reduction in cost because t
Externí odkaz:
http://arxiv.org/abs/2002.02775
Publikováno v:
2020 IEEE 14th International Conference on Semantic Computing (ICSC)
Millions of online discussions are generated everyday on social media platforms. Topic modelling is an efficient way of better understanding large text datasets at scale. Conventional topic models have had limited success in online discussions, and t
Externí odkaz:
http://arxiv.org/abs/2002.02353
Akademický článek
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Publikováno v:
BMC Cancer, Vol 6, Iss 1, p 104 (2006)
Abstract Background Mathematical models of cancer relevant processes are being developed at an increasing rate. Conceptual frameworks are needed to support new treatment designs based on such models. Methods A modern control perspective is used to fo
Externí odkaz:
https://doaj.org/article/64969fb9f23d4f03b4f1fabc50a24451