Evaluating machine learning efficiency and accuracy for real time flash flood mapping
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Researchers are exploring the use of machine learning for real-time flash flood mapping, evaluating its efficiency and accuracy. Other studies are also investigating the application of machine learning and deep learning models in various fields, including image classification, anomaly detection, and decision making. The focus of these studies appears to be on optimizing and benchmarking lightweight models for efficient deployment in different environments.
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