AI and IoT in flood forecasting and mitigation: A comprehensive approach

dc.contributor.authorTariq, Muhammad Usman
dc.date.accessioned2024-08-19T06:18:08Z
dc.date.available2024-08-19T06:18:08Z
dc.date.issued2024-05-06
dc.description.abstractThis 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. © 2024 by IGI Global. All rights reserved. Keywords Flood, Artificial Intelligence, Disaster management
dc.identifier.citationTariq, M. U. (2024). AI and IoT in Flood Forecasting and Mitigation: A Comprehensive Approach. In AI and IoT for Proactive Disaster Management (pp. 26-60). IGI Global.
dc.identifier.doihttps://doi.org/10.4018/979-8-3693-3896-4.ch003
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6220
dc.language.isoen_US
dc.publisherIGI Global
dc.titleAI and IoT in flood forecasting and mitigation: A comprehensive approach
dc.typeBook chapter

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