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Springer Advanced Systems for Environmental Monitoring, IoT and AI - Studies in Big Data 143

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Description

Explore how Internet of Things technology and artificial intelligence transform environmental monitoring and risk assessment in this comprehensive volume from Springer's Studies in Big Data series. This book examines IoT-enabled environmental intelligence through constant measurement and collection of physical environments using integrated sensors and smart devices. Discover how clean technologies detect toxic substances, chemical spills, and hazardous pollutants across air, land, and water systems. Learn how governments and industries leverage IoT sites to monitor ecosystems, assess environmental risks affecting millions of people, and implement protective measures. Ideal for professionals, researchers, and policymakers seeking to understand the intersection of IoT, artificial intelligence, and environmental protection in today's complex world.

Key Features

Part of Springer's Studies in Big Data series (volume 143), offering peer-reviewed research on data-intensive technologies and applications.

Covers IoT-enabled environmental intelligence systems that use integrated sensors for real-time measurement and collection of physical environment data.

Addresses detection and monitoring of toxic substances, chemical spills, and hazardous pollutants through clean technology solutions.

Examines how IoT sites support government and industrial efforts to protect and clean air, land, water, and other critical environments.

Integrates artificial intelligence applications with environmental monitoring systems to enhance risk assessment and decision-making.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 February 2025
Listed Since
26 January 2025

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