An evaluation of various data pre-processing techniques with machine learning models for water level prediction

• Main Authors: Tiu, Ervin Shan Khai, Huang, Yuk Feng, Ng, Jing Lin, AlDahoul, Nouar, Ahmed, Ali Najah, Elshafie, Ahmed
• Format: Article
• Published: Springer 2022
• Subjects: Q Science (General); QE Geology
• Online Access: http://eprints.um.edu.my/33808/
• Institution: Universiti Malaya

Floods are the most frequent type of natural disaster. It destroys wildlife habitat, damages bridges, railways, roads, properties, and puts millions of people at risk. As such, flood detection systems have been developed to monitor the changes of water level and raise an alarm should there be immine...