September 10, 2025

A Comprehensive Review of Machine Learning Approaches for Flood Prediction Systems

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This review highlights machine learning techniques improving flood prediction accuracy and timeliness, indicating potential research gaps.

Machine learning approaches significantly enhance flood prediction capabilities compared to traditional methods.
The review analyzes 15 studies focusing on models like decision trees, ANN, SVM, and deep learning.
Key contributions include identifying research gaps such as real-time adaptability and IoT integration.
The integration of advanced models and hybrid strategies is essential for developing more robust flood prediction systems.

Dhouni et al. (2025) studied this question.

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This review highlights machine learning techniques improving flood prediction accuracy and timeliness, indicating potential research gaps.