Evaluation of machine learning approach in flood prediction scenarios and its input parameters: a systematic review

• Main Authors: Maspo, Nur Adib, Harun, Aizul Nahar, Goto, Masafumi, Cheros, Faizah, Haron, Nuzul Azam, Mohd. Nawi, Mohd. Nasrun
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/89973/1/NurAdibMaspo2020_EvaluationofMachineLearningApproachinFlood.pdf; http://eprints.utm.my/id/eprint/89973/; http://dx.doi.org/10.1088/1755-1315/479/1/012038
• Institution: Universiti Teknologi Malaysia

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 prevent from serious damages that caused by flood is possible. Thus, implementing flood prediction could he...