Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Naret Suyaroj"'
Publikováno v:
Apuntes del CENES, Vol 43, Iss 78 (2024)
The objective of this study was to evaluate the impact of the pandemic on Thailand’s real estate market and to propose recommendations for investors and other market participants on how to continue operating in the market. The primary research meth
Externí odkaz:
https://doaj.org/article/b926e4da3f4b4b97aedc07bc543d0e85
Publikováno v:
Soft Computing.
Autor:
Suttida Suwannayod, Siva Shankar Ramasamy, Naret Suyaroj, Annop Tananchana, Supharoek Siriphen, Thanadon Jenrungrod, Nopasit Chakpitak
Publikováno v:
2022 7th International Conference on Information and Network Technologies (ICINT).
Publikováno v:
Data Science and Security ISBN: 9789811922107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8653aaf3effe17af2134034965a6b501
https://doi.org/10.1007/978-981-19-2211-4_14
https://doi.org/10.1007/978-981-19-2211-4_14
Publikováno v:
Volume: 25, Issue: 2 806-819
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
Transient state estimation (TSE) was used to determine the state values that have no measurement equipment placed in an electric power system with transient phenomena. Previous papers used the PI model for TSE with a short transmission line, but long
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87190c9294def04a5bcb7a313625c1a
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35783/400358
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35783/400358
Publikováno v:
2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
In order to determine the monitoring in large power system during disturbance, Transient State Estimation (TSE) algorithm combines partial measurement with state estimation technique to derive measurement value at unmonitored location in electric pow
Publikováno v:
2008 International Symposium on Intelligent Signal Processing and Communications Systems.
We further investigate the performances of our previously proposed technique for received signal power prediction in the direct sequence code division multiple access (DS/CDMA) systems based on support vector regression (SVR.) The scheme is based on
Publikováno v:
2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
This paper presents an application of the support vector regression (SVR) in prediction of received signal power in the direct sequence code division multiple access (DS/CDMA) systems. The predictor selects the parameters by using five-fold cross-val