Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Myunghwan Na"'
Publikováno v:
Journal of the Korean Data And Information Science Society. 32:997-1005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61091c421087126783cbd969933c8df
https://doi.org/10.7465/jkdi.2021.32.5.997
https://doi.org/10.7465/jkdi.2021.32.5.997
Publikováno v:
Electronics, Vol 10, Iss 1576, p 1576 (2021)
Electronics
Volume 10
Issue 13
Electronics
Volume 10
Issue 13
Nonlinear autoregressive exogenous (NARX), autoregressive integrated moving average (ARIMA) and multi-layer perceptron (MLP) networks have been widely used to predict the appearance value of future points for time series data. However, in recent year
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a48f38879ad00884d494756062108ae1
https://www.mdpi.com/2079-9292/10/13/1576
https://www.mdpi.com/2079-9292/10/13/1576
Publikováno v:
Advances in Computer Science and Ubiquitous Computing ISBN: 9789811593420
Generally, the problem of predicting yields of onions grown in a year is of utmost concern to both the farmers who grow vegetables and the government departments that manage them. In this study, we first considered five environmental variables, Mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caa4316fbdc5ade80492a0f8a08fc553
https://doi.org/10.1007/978-981-15-9343-7_22
https://doi.org/10.1007/978-981-15-9343-7_22
Publikováno v:
Communications for Statistical Applications and Methods. 25:431-442
This paper highlights the computational explosion issues in the autoregressive moving average approach of frequency estimation of sinusoidal data with a large sample size. A new algorithm is proposed to circumvent the computational explosion difficul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6745d848ccef04742f2c144f8cdf03c
https://doi.org/10.29220/csam.2018.25.4.431
https://doi.org/10.29220/csam.2018.25.4.431
Publikováno v:
Advanced Science Letters. 24:2084-2087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef98f6a5f9861b2489a43e69cbfe224a
https://doi.org/10.1166/asl.2018.11855
https://doi.org/10.1166/asl.2018.11855
Publikováno v:
ICUFN
In this paper, we propose a new statistical method that can analyze the yield data of the field vegetable using a functional regression model with multiple functional covariates and scalar response. From the experimental results, we could see the fol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe91a7cd1c51094c8b43abd2a9c591c
https://doi.org/10.1109/icufn.2019.8806056
https://doi.org/10.1109/icufn.2019.8806056
Publikováno v:
2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
In this paper, we propose an automatic prediction system that can predict strawberry harvesting time, sugar content and acidity simultaneously. To do this, we firstly considered a segmentation algorithm using ellipsoid Hough transform that can automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c86bc0512cd2a2190b40a2f06d509e
https://doi.org/10.1109/itc-cscc.2019.8793349
https://doi.org/10.1109/itc-cscc.2019.8793349
Publikováno v:
Communications for Statistical Applications & Methods; 2018, Vol. 25 Issue 4, p431-442, 12p