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Full Description
This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.
Contents
Chapter 1. AI for Forecasting, Assessing Air Quality Trends, and Air Pollution Monitoring.- Chapter 2. Artificial Intelligence for Impeding the Impending Climate Change.- Chapter 3. Artificial Intelligence Curtailments of Environmental impacts of Renewable Energy Systems: Solar, Wind, Hydro, Biomass, and Geothermal.- Chapter 4. Artificial Intelligence for Apter Waste Management Encapsulating Environmental impacts and health hazards associated with open dumping of organic waste.- Chapter 5. Applications of AI in Assessing Threats of Catastrophic Natural Hazards.- Chapter 6. Review of Experimental investigations on exposure of lung tissue with fine and ultrafine particles and possible implications of AI. Chapter 7. Review on Recycling of Platinum Group Metals, their demand and supply prediction using AI, And Alternative Catalysts For Catalytic Converters.- Chapter 8. Machine Learning in Renewable Energy Systems.- Chapter 9. Artificial Intelligence and its Potential Applications in Identifying Textile Dyeing Pollution in Bangladesh.- Chapter 10. Problems, Opportunities, and Directives for the Application of AI systems in Engine Exhaust Prediction.
