AI and IoT in Flood Forecasting and Mitigation

Author:

Tariq Muhammad Usman1ORCID

Affiliation:

1. Abu Dhabi University, UAE & University of Glasgow, UK

Abstract

This chapter outlines the complete way to deal with flood estimating and alleviation through the mix of man-made brainpower (artificial intelligence) and the web of things (IoT). Floods are among the most pulverizing catastrophic events universally, requiring progressed techniques for expectation and reaction. Computer-based intelligence and IoT innovations offer promising arrangements by empowering precise estimating, constant observation, and compelling relief measures. This part investigates the groundwork of computer-based intelligence and IoT in calamity the board, featuring their assembly for upgraded information examination and navigation. It digs into artificial intelligence models, such as profound learning and AI for flood expectation, alongside the organization of IoT sensors and gadgets for continuous observing in flood-inclined regions.

Publisher

IGI Global

Reference57 articles.

1. Application of IoT in Flood Monitoring and Early Warning Systems: A Review.;A. Q.Adeleke;International Journal of Advanced Computer Science and Applications,2020

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3. An IoT-based Wireless Sensor Network Framework for Flood Monitoring.;A.Barzegar;International Journal of Advanced Computer Science and Applications,2019

4. A Novel Distributed IoT Framework for Flood Early Warning Based on Edge Computing and Deep Learning.;K.Chen;IEEE Access : Practical Innovations, Open Solutions,2020

5. IoT-Based Smart Water Management System for Flood Monitoring and Early Warning.;A.Das;IEEE Sensors Journal,2021

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