The book charts the evolution of air purification, explaining various filtration technologies and control systems. It progresses systematically, starting with the fundamentals of air purification and sensor technology, then moving into the creation of automated algorithms, and finally, exploring data-driven optimization through machine learning. Case studies in residential, commercial, and industrial settings demonstrate practical applications of these technologies. This approach provides engineers, data scientists, and researchers with a practical understanding of designing and implementing smart air purification systems.
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