Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Norhaiza Ahmad"'
Autor:
Siti Mariana Che Mat Nor, Shazlyn Milleana Shaharudin, Shuhaida Ismail, Sumayyah Aimi Mohd Najib, Mou Leong Tan, Norhaiza Ahmad
Publikováno v:
Atmosphere, Vol 13, Iss 1, p 145 (2022)
This study was conducted to identify the spatiotemporal torrential rainfall patterns of the East Coast of Peninsular Malaysia, as it is the region most affected by the torrential rainfall of the Northeast Monsoon season. Dimension reduction, such as
Externí odkaz:
https://doaj.org/article/0ada117230d74981b46bbcbd6851d4f0
Autor:
Nur Syazwin Mansor, Norhaiza Ahmad
Publikováno v:
The 5TH ISM INTERNATIONAL STATISTICAL CONFERENCE 2021 (ISM-V): Statistics in the Spotlight: Navigating the New Norm.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::537be7e88e9573d501b6080b90dd6a4a
https://doi.org/10.1063/5.0111090
https://doi.org/10.1063/5.0111090
Autor:
Norliza Adnan, Norhaiza Ahmad
Publikováno v:
International Journal of Psychosocial Rehabilitation. 24:497-505
Clustering methods have often been used to group similar students’ performance for tracking their academic progress. A typical approach is to group the students by treating the observations as accumulated average marks on several assessed subjects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966416ac0aa517abda1f4c0e0311a64d
https://doi.org/10.37200/ijpr/v24i5/pr201714
https://doi.org/10.37200/ijpr/v24i5/pr201714
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W16, Pp 63-70 (2019)
Videogrammetry is a technique to generate point clouds by using video frame sequences. It is a branch of photogrammetry that offers an attractive capabilities and make it an interesting choice for a 3D data acquisition. However, different camera inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1e43e5853589a5e54cf088726d6c473
https://doi.org/10.5194/isprs-archives-xlii-4-w16-63-2019
https://doi.org/10.5194/isprs-archives-xlii-4-w16-63-2019
Publikováno v:
Malaysian Journal of Science. 38:14-22
Regionalization of river discharges is a process of transferring hydrological information to generalize hydrological information from one river to another. One approach to regionalize river discharge is to use a distance-based regional analysis by em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bb877e27c02fe46269b78b2734cbd26
https://doi.org/10.22452/mjs.sp2019no2.2
https://doi.org/10.22452/mjs.sp2019no2.2
This paper presents a modified correlation in principal component analysis (PCA) for selection number of clusters in identifying rainfall patterns. The approach of a clustering as guided by PCA is extensively employed in data with high dimension espe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::180c1dc22302f92026b22b9f42ccf1bd
https://zenodo.org/record/6947788
https://zenodo.org/record/6947788
Autor:
Norhaiza Ahmad, Noraini Ibrahim
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 13:325-330
Obtaining accurate streamflow predictions can be challenging due to the inherent variabilities and complex nonlinear nature in streamflow generation processes. Support vector regression model is an effective forecasting tool to forecast streamflow as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5438b82634edae4fe81f1ff0588b1fb8
https://doi.org/10.11113/mjfas.v13n4-1.876
https://doi.org/10.11113/mjfas.v13n4-1.876
In this study, hybrid RPCA-spectral biclustering model is proposed in identifying the Peninsular Malaysia rainfall pattern. This model is a combination between Robust Principal Component Analysis (RPCA) and bi-clustering in order to overcome the skew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab53144247a024e8338998fb0be332e
https://zenodo.org/record/6935386
https://zenodo.org/record/6935386
Publikováno v:
Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) ISBN: 9789811372780
Peninsular Malaysia has a tropical climate that is characterized by three monsoons. The aim of this study is to identify the spatial distribution patterns of the daily torrential monsoon rainfall in Peninsular Malaysia by clustering the most relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3edcd9639ec78428e3cf9245e913d15
https://doi.org/10.1007/978-981-13-7279-7_51
https://doi.org/10.1007/978-981-13-7279-7_51
Autor:
Norhaiza Ahmad, Nur Syazwin Mansor
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 13:405-407
This study identifies the spatial grouping of homogeneous river flow process on eight rivers in Johor based on river discharge records of 28 years. A clustering approach using a nonlinear dissimilarity measure called Dynamic Time Warping (DTW) is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a15d82d936b793cbdb240ce9333f04e
https://doi.org/10.11113/mjfas.v13n4-1.845
https://doi.org/10.11113/mjfas.v13n4-1.845