This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and Stacking on rainfall classification. The two hybrid methods …
MF Zulfikri, SM Shaharudin, NAA Rajak… - … Journal of Biology …, 2021 - researchgate.net
The coronavirus disease 2019 (COVID-19) outbreak in December 2019 had affected the way of living for people around the world including students in educational institutions …
W Lei, H Qin, X Hou, H Chen - The Visual Computer, 2024 - Springer
Providing reliable and accurate high-resolution meteorological data is very significant to guide the rapid response to extreme weather conditions. However, due to the constraints of …
SS Lin, YL Hu, KY Zhu - Journal of Water and Climate Change, 2022 - iwaponline.com
The effects of typhoon rainfall cannot be easily investigated to downscale the GCMs (general circulation models) data, because typhoons are short-term highly nonlinear …
MAIM NOOR, MA HALEK, A FAIZ… - Journal of …, 2023 - jssm.umt.edu.my
In the previous study, principal component analysis and cluster analysis were used but no information on factors, contribution and classification for rainfall were provided. The logistic …
SS Lin, WL Yeh, KY Zhu, YD Ho, WC Wu - 2022 - researchsquare.com
This study proposes a deep neural network (DNN) as a downscaling framework to compare original variables and nonlinear data features extracted by kernel principal component …
UPSI Digital Repository (UDRep) : Item Details UPSI Digital Repository (UDRep) Start | FAQ | About QR Code Link : Type : article Subject : Q Science ISSN : 1998-4510 Main Author …
Purpose: This study design explores the literature produced and published in journals indexed in the Scopus-Elsevier database in terms of machine accidents. Methods: We …