Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kavya Jagan"'
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100128- (2021)
Experiments are undertaken both to test a hypothesis and, as is usually the case in metrology, to estimate the values of quantities. Experimental design is the process of planning the experiment in order to ensure that measurements gathered are of th
Externí odkaz:
https://doaj.org/article/2c501dc3b4434e6bb660cf0d458963bd
Publikováno v:
Mathematics, Vol 6, Iss 7, p 124 (2018)
In this note, we present a component-wise algorithm combining several recent ideas from signal processing for simultaneous piecewise constants trend, seasonality, outliers, and noise decomposition of dynamical time series. Our approach is entirely ba
Externí odkaz:
https://doaj.org/article/c83cb0dbe644497eadb46157da16c466
Autor:
Ignacio X Partarrieu, Kavya Jagan, Andrew Fenwick, Chunlei Han, Reetta Siekkinen, Jarmo Teuho, Antti Saraste, Nadia A S Smith
Publikováno v:
Measurement Science and Technology. 33:064002
Perfusion, the flow of blood, and hence oxygen, is essential to the functioning of the heart. Reduced perfusion (or ischemia), is a reliable indicator of the presence of significant obstructive coronary artery disease (CAD), which is one of the bigge
Publikováno v:
MetroInd4.0&IoT
Smart sensors are a key driver of Industry 4.0 and can be harnessed to bring about efficiency and ensure quality in manufacturing. Many industrial sensor measurements relate to dynamical systems that evolve over time. It is critical, especially for s
Publikováno v:
Measurement Science and Technology. 31:114001
The purpose of clustering is to identify groups in a dataset in the hope of revealing some unforeseen latent discrete variable. Clustering however, is known to be one of the most difficult tasks in practice for two main reasons: - high dimensionality
Autor:
Alistair B. Forbes, Kavya Jagan
Publikováno v:
Series on Advances in Mathematics for Applied Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961327f31ac9865e1a4653630ea13fce
https://doi.org/10.1142/9789813274303_0019
https://doi.org/10.1142/9789813274303_0019
Publikováno v:
Mathematics
Mathematics, MDPI, 2018, 6 (7), pp.124. ⟨10.3390/math6070124⟩
Volume 6
Issue 7
Mathematics, Vol 6, Iss 7, p 124 (2018)
Mathematics, MDPI, 2018, 6 (7), pp.124. ⟨10.3390/math6070124⟩
Volume 6
Issue 7
Mathematics, Vol 6, Iss 7, p 124 (2018)
International audience; In this note, we present a component-wise algorithm combining several recent ideas from signal processing for simultaneous piecewise constants trend, seasonality, outliers, and noise decomposition of dynamical time series. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d592142b9b609075b65a1aad881cdb3
https://hal.archives-ouvertes.fr/hal-02515951
https://hal.archives-ouvertes.fr/hal-02515951