Intelligent flood forecasting model using committee machine learning for early warning system
Extreme rainfall in upstream watersheds often results in the rise of river water levels, leading to severe flood disasters in the downstream catchment. Therefore, monitoring river water level and flow are crucial for flood forecasting in early warning systems and disaster risk reduction. Although so...
Saved in:
Main Author: | Faruq, Amrul |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/100341/1/AmrulFaruqPMJIIT2022.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Flood forecasting using advanced machine learning model and flood susceptibility analysis and mapping using morphometric parameters
by: Maspo, Nur-Adib
Published: (2022) -
Extending delone and mclean success model with diffusion of innovation theory factors for flood early warning and response system success model : a case study at pahang civil defence department
by: Waleed Abdulmaged, Hammood
Published: (2021) -
Android mobile malware detection model based on permission features using machine learning approach
by: Sharfah Ratibah, Tuan Mat
Published: (2022) -
Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
by: Mohammad Khamees Khaleel, Alsajri
Published: (2022) -
The effect of salinity on polymer selection and oil recovery by polymer flooding
by: Almahdi, Mohammed Abdesalam
Published: (2014)