Flood Detection Benchmark

Published: 3 June 2026| Version 1 | DOI: 10.17632/m5kf9sv2rs.1
Contributors:
Carlos Rodríguez Domínguez,
,

Description

We have benchmarked different implementations of a flood detection mechanism based either in ML or in agents, so as to compare which is the best implementation in terms of reduced cost, prediction time, outputs for final users, etc.

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Institutions

Categories

Machine Learning, Agent-Based Technology, Benchmarking, Emergency Response, Flood Risk Management

Funders

  • EIT Food
    European Institute of Innovation and Technology
    Leuven
    Grant ID: DIGIMPACT.EU

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