AI and IoT in Flood Forecasting and Mitigation
Muhammad Usman Tariq
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.