This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such as data collection, preprocessing, deep learning, machine vision, ensemble methods, and more.
Artificial Intelligence for Air Quality Monitoring and Prediction
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$308.00
Description
This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such as data collection, preprocessing, deep learning, machine vision, ensemble methods, and more.
This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time...
This book is primarily designed for readers keen to enhance their knowledge in air quality and its various monitoring methods. It presents studies on the interrelation between fungal contamination...
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas...
This book has these two research questions need to be answered: Has it close relationship between (AI)learning machine and predictive consumer behaviors? Can (AI) build close...
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