Titlebook: Machine Learning Techniques for Smart City Applications: Trends and Solutions; D. Jude Hemanth Book 2022 The Editor(s) (if applicable) and

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D. Jude HemanthPresents an in-depth coverage on different variety of applications related with smart cities.Maximizes reader’s insights about the role of machine learning in different applications of smart cities.In

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Advances in Science, Technology & Innovationhttp://image.papertrans.cn/m/image/620427.jpg

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2522-8714 achine learning in different applications of smart cities.In.This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with

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Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context,model the non-linear relationship between the predictors and outcome variables. Based on the findings, we discussed the implications of the present study within the context of improving citizens’ lives in smart cities.

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Emergency Department Management Using Regression Models,ctor regression are considered for the prediction of the patient flow in Emergency Departments. The hazardous COVID-19 pandemic and its impact on the mounting crisis in the EDs is also discussed. The challenges and suggestive methods are also discussed here.