In recent years, climate change has demonstrated the volatility of unexpected events such
as typhoons, flooding, and tsunamis that affect people, ecosystems and economies. As a …

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 …

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 …

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 …

The effects of typhoon rainfall cannot be easily investigated to downscale the GCMs
(general circulation models) data, because typhoons are short-term highly nonlinear …

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 …

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 …