Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nur Haizum Abd Rahman"'
Autor:
Muhammad Rezal Kamel Ariffin, Kathiresan Gopal, Isthrinayagy Krishnarajah, Iszuanie Syafidza Che Ilias, Mohd Bakri Adam, Jayanthi Arasan, Nur Haizum Abd Rahman, Nur Sumirah Mohd Dom, Noraishah Mohammad Sham
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Since the first coronavirus disease 2019 (COVID-19) outbreak appeared in Wuhan, mainland China on December 31, 2019, the geographical spread of the epidemic was swift. Malaysia is one of the countries that were hit substantially by the outbr
Externí odkaz:
https://doaj.org/article/e569d5935e114b4bb07c96d99e8fc12d
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3182 (2022)
Outlier detection has been a long-debated subject among researchers due to its effect on model fitting. Spatial outlier detection has received considerable attention in the recent past. On the other hand, outlier accommodation, particularly in spatia
Externí odkaz:
https://doaj.org/article/ba21bde119364efd83fa5ce23523f9be
Publikováno v:
Symmetry, Vol 13, Iss 11, p 2030 (2021)
Influential observations (IOs), which are outliers in the x direction, y direction or both, remain a problem in the classical regression model fitting. Spatial regression models have a peculiar kind of outliers because they are local in nature. Spati
Externí odkaz:
https://doaj.org/article/3bcd8390d89d4cc888ff60c819805569
Publikováno v:
Sains Malaysiana. 51:2645-2654
Levenberg-Marquardt algorithm and conjugate gradient method are frequently used for optimization in multi-layer perceptron (MLP). However, both algorithms have mixed conclusions in optimizing MLP in time series forecasting. This study uses autoregres
Autor:
Nur Haizum Abd Rahman, Muhammad Hisyam Lee, Nur Arina Bazilah Kamisan, Maria Elena Nor, Siti Mariam Norrulashikin, Siti F. Hassan
Publikováno v:
Mathematical Modelling of Engineering Problems. 8:207-212
Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in de
Publikováno v:
Sains Malaysiana. 49:201-209
Detection of air quality abnormality is important as an early warning system for air quality control and management. The information can raise citizens’ awareness towards current air quality status. By using time series plot, the data pattern can b
Publikováno v:
Symmetry, Vol 13, Iss 2030, p 2030 (2021)
Symmetry
Volume 13
Issue 11
Symmetry
Volume 13
Issue 11
Influential observations (IOs), which are outliers in the x direction, y direction or both, remain a problem in the classical regression model fitting. Spatial regression models have a peculiar kind of outliers because they are local in nature. Spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214ff7fa0e2741c12aae3069c4780858
This paper presents time series forecasting method in order to achieve high accuracy performance. In this study, the modern time series approach with the presence of missing values problem is developed. The artificial neural networks (ANNs) is used t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::c6e7504c5161d01abce46fa9a28715d9
https://zenodo.org/record/6946516
https://zenodo.org/record/6946516
Autor:
Muhammad Rezal Kamel Ariffin, Kathiresan Gopal, Isthrinayagy Krishnarajah, Iszuanie Syafidza Che Ilias, Mohd Bakri Adam, Noraishah Mohammad Sham, Jayanthi Arasan, Nur Haizum Abd Rahman, Nur Sumirah Mohd Dom
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019).
Error magnitude is a measurement commonly used in forecast evaluation. However, the purpose of forecasting air quality is to maintain the air quality within assigned guidelines. Thus, the index measurement is important to be considered. But, the prob