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Artificial Intelligence and Machine Learning in Smart City Planning
shows the reader practical applications of AIML techniques and
describes recent advancements in this area in various sectors.
Owing to the multidisciplinary nature, this book primarily focuses
on the concepts of AIML and its methodologies such as evolutionary
techniques, neural networks, machine learning, deep learning, block
chain technology, big data analytics, and image processing in the
context of smart cities. The text also discusses possible solutions
to different challenges posed by smart cities by presenting cutting
edge AIML techniques using different methodologies, as well as
future directions for those same techniques.
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