Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jumlong Vongprasert"'
Noise Reduction for Nonlinear Nonstationary Time Series Data using Averaging Intrinsic Mode Function
Publikováno v:
Algorithms, Vol 6, Iss 3, Pp 407-429 (2013)
A novel noise filtering algorithm based on averaging Intrinsic Mode Function (aIMF), which is a derivation of Empirical Mode Decomposition (EMD), is proposed to remove white-Gaussian noise of foreign currency exchange rates that are nonlinear nonstat
Externí odkaz:
https://doaj.org/article/77234ed6bd7d4e289cd3c6e05f3e33ee
Publikováno v:
Ramathibodi Medical Journal. 44:18-27
Background: Thalassemia and hemoglobinopathies are the most common and clinically serious single gene disorders. Screening by osmotic fragility (OF) test and dichlorophenol indophenols precipitation (DCIP) test have been found to be effective and low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c15b09d29264e19bacb4508f67ee2bc
https://doi.org/10.33165/rmj.2021.44.2.249723
https://doi.org/10.33165/rmj.2021.44.2.249723
Publikováno v:
Journal of Education, Mahasarakham University, Vol 15, Iss 1, Pp 29-44 (2021)
Research on the development of mathematics learning management model to enhance creative problem solving skills for students of MathayomSuksa 4 students with the objectives 1. To study the state of learning management of mathematics courses that prom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::6d3246384b8310f4a6320a3cfb4bf91d
http://edu.msu.ac.th/journal/home/journal_file/747.pdf
http://edu.msu.ac.th/journal/home/journal_file/747.pdf
Publikováno v:
Journal of Education, Mahasarakham University, Vol 14, Iss 2, Pp 268-280 (2020)
The research aimed to 1) to study the multi-level causal relationship of factors influencing the effectiveness of the small primary schools by investigating documents, concepts, theories, and researches, analyzing and synthesizing on the factors infl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::1e41428a33971f289d985fcbac38ba6a
http://edu.msu.ac.th/journal/home/journal_file/701.pdf
http://edu.msu.ac.th/journal/home/journal_file/701.pdf
Autor:
Jumlong Vongprasert
Publikováno v:
The Journal of King Mongkut's University of Technology North Bangkok. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13edd3ad01473289c117884ddba08524
https://doi.org/10.14416/j.kmutnb.2020.07.002
https://doi.org/10.14416/j.kmutnb.2020.07.002
Autor:
Jumlong Vongprasert
Publikováno v:
The Journal of King Mongkut's University of Technology North Bangkok.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f14cec7c3e9898a5d9564953c4c17c24
https://doi.org/10.14416/j.kmutnb.2017.10.004
https://doi.org/10.14416/j.kmutnb.2017.10.004
Autor:
Bhusana Premanode, Jumlong Vongprasert
Publikováno v:
Journal of Mathematics and Statistics. 10:255-261
Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aea39060e5360483265a42ee41d8dc2c
https://doi.org/10.3844/jmssp.2014.255.261
https://doi.org/10.3844/jmssp.2014.255.261
Autor:
Jumlong Vongprasert
Publikováno v:
Journal of Scientific Research and Reports. 3:1038-1049
The purpose of this paper is to develop a regime switching technique to optimise mean and regression of a missing data set whose sample is small in size with a low degree of correlation. The data sets were first generated with a simple random method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f2d6846629eee9e6188f099d2785f99
https://doi.org/10.9734/jsrr/2014/8637
https://doi.org/10.9734/jsrr/2014/8637
Autor:
Premanode, Bhusana1 bhusana@gmail.com, Jumlong Vongprasert2 jumlong@yahoo.com, Toumazou, Christofer1 c.toumazou@imperial.ac.uk
Publikováno v:
Algorithms. Sep2013, Vol. 6 Issue 3, p407-429. 23p.
Noise Reduction for Nonlinear Nonstationary Time Series Data using Averaging Intrinsic Mode Function
Publikováno v:
Algorithms; Volume 6; Issue 3; Pages: 407-429
Algorithms, Vol 6, Iss 3, Pp 407-429 (2013)
Algorithms, Vol 6, Iss 3, Pp 407-429 (2013)
A novel noise filtering algorithm based on averaging Intrinsic Mode Function (aIMF), which is a derivation of Empirical Mode Decomposition (EMD), is proposed to remove white-Gaussian noise of foreign currency exchange rates that are nonlinear nonstat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::056c129a943ff18025012c895e8177e6