Evaluation of Machine Learning approach in flood prediction scenarios and its input parameters: A systematic review

NA Maspo, ANB Harun, M Goto, F Cheros… - … Series: Earth and …, 2020 - iopscience.iop.org
Flood disaster is a major disaster that frequently happens globally, it brings serious impacts
to lives, property, infrastructure and environment. To stop flooding seems to be difficult but to …

[PDF][PDF] Map** the impact: Property crime trends in Kuching, Sarawak, during and after the COVID-19 period (2020-2022)

A Ahmad, MH Kelana, R Soda, N Juhit… - The Indonesian Journal …, 2024 - core.ac.uk
This study aims to explore how COVID-19 and the Movement Control Order (MCO) have
influenced the trend of property crimes in Kuching, Sarawak spanning from 2020 until 2022 …

Gis for crime map**: a case study of property crime in Kuching, Sarawak

N Jubit, T Masron - Journal of Asian Geography, 2022 - ejournal.usm.my
Residents in Kuching claim to be worried about the increasingly of property crime. This study
using spatial data such as road data, police station boundary and police sector boundary …

[PDF][PDF] Radial basis function (RBF) neural network: Effect of hidden neuron number, training data size, and input variables on rainfall intensity forecasting

SS Chai, WK Wong, KL Goh, HH Wang… - International Journal on …, 2019 - core.ac.uk
Mean daily rainfall of more than 30mm could result in flood hazard. Accurate prediction of
rainfall intensity could help in forecasting of flash flood and help to save lives and properties …

Forecasting of convective precipitation through NWP models and algorithm of storms prediction

D Šaur - Artificial Intelligence Trends in Intelligent Systems …, 2017 - Springer
This article focuses on contemporary possibilities of forecasting of convective storms which
may cause flash floods. The first chapters are presented predictive tools such as numerical …

Prognostication of Weather Patterns using Meteorological Data and ML Techniques.

S Mathur, S Kumar… - … Endorsed Transactions on …, 2024 - search.ebscohost.com
In the field of modern weather prediction, the accurate classification is essential, impacting
critical sectors such as agriculture, aviation, and water resource management. This research …

Spatial Analysis of Vehicle Theft in Kuching, Sarawak

N Jubit, T Masron, MN Nordin… - Malaysian Journal of …, 2021 - adab.um.edu.my
Vehicle thefts are raising concern among society because it contributes to the highest rate of
property crime in Malaysia. GIS is an important base system that allows locating crime hot …

[HTML][HTML] Development of trees management system using radial basis function neural network for rain forecast

H Auzani, KS Has-Yun, FAM Nazri - Computational Water, Energy, and …, 2021 - scirp.org
Agriculture and farming are mainly dependent on weather especially in Malaysia as it
received heavy rainfall throughout the years. An efficient crop or tree management system …

Exploring Flooded Fraction Prediction through Machine Learning Models Focusing on Medical Infrastructure in the Southeast US Coastal Areas

J Chung, K Neo, M Khan, E Cruz, Z Zheng… - … Conference on Big …, 2025 - ntrs.nasa.gov
Rising sea levels due to climate change increasingly threaten medical infrastructure through
flooding. This study develops machine learning models to predict flood exposure for 11,508 …

[PDF][PDF] Leveraging open-source remote-sensing data and machine learning approaches for flood prediction and susceptibility map** in Nam Ngum River Basin …

S Mangkhaseum - kyutech.repo.nii.ac.jp
Frequent floods caused by monsoons and rainstorms have significantly affected the
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A …