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AI and intelligent systems address global industrial and environmental challenges by enabling smarter, more efficient, and sustainable solutions. Through technologies like machine learning, automation, sensor networks, and predictive analytics, AI optimizes energy use, reduces waste, improves resource management, and minimizes environmental impact. These intelligent systems apply to renewable energy, smart manufacturing, climate monitoring, agriculture, and pollution control for sustainable development and long-term environmental protection. As the demand for greener technologies grows, AI-driven innovations may help balance industrial progress with environmental responsibility. AI and Intelligent Systems for Sustainable Industrial and Environmental Applications explores how AI and intelligent systems improve sustainability, efficiency, and productivity in industrial and environmental sectors. It examines the role of AI technologies in addressing challenges like energy management, pollution reduction, climate monitoring, resource optimization, and sustainable industrial development. This book covers topics such as environmental science, manufacturing, and sustainable development, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists.

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