Description: The integration of artificial intelligence (AI) and the Internet of Things (IoT), collectively known as AIoT, revolutionizes environmental monitoring by enabling intelligent, data-driven, and sustainable solutions. AIoT-powered systems combine real-time data collection from sensors with advanced analytics and machine learning algorithms to monitor, predict, and manage environmental changes. These intelligent systems detect pollution levels, track climate patterns, optimize resource usage, and support early warning systems for natural disasters, promoting environmental sustainability. By harnessing the connection between AI and IoT, researchers and policymakers may develop smarter, more adaptive frameworks that enhance environmental protection while contributing to global sustainability goals. Intelligent Systems and Sustainable Solutions for AIOT-Powered Environmental Monitoring provides a comprehensive overview of the integration of AI and IoT in environmental monitoring and sustainability. It explores how intelligent, connected systems transform monitoring, analysis, and response to environmental changes. This book covers topics such as data science, smart technology, and sustainable development, and is a useful resource for engineers, academicians, researchers, and scientists.
Brief description: Momina Shaheen Fellow, Higher Education Academy (UK), is Lecturer in Computing, in University of Roehampton, London, United Kingdom. She is a Ph.D Scholar with 15+ journal publications and 4 conference publications in Computing and cutting edge technologies. She earned her master's in software engineering from Bahria University Islamabad Campus in 2016. She has more than 6 years of experience in research and academia. She has supervised and initiated a number of projects in her career. She has lead different project in the area of Machine Learning, Data Science, Artificial Intelligence, Internet of things, Cognitive Sciences and Distributed Systems.