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Smart city article details

Title	Performance Analysis Of Machine Learning And Deep Learning Algorithms For Smart Cities: The Present State And Future Directions
ID_Doc	41666
Authors	Bedi P.; Goyal S.B.; Islam S.M.N.; Liu J.; Budati A.K.
Year	2022
Published	Cognitive Computing Models in Communication Systems
DOI	http://dx.doi.org/10.1002/9781119865605.ch2
Abstract	To manage growing urbanization, there is the development of smart cities with an aim for environment preservation, improvement of the socio-economical standard of living of people by adopting technological advancement in information and communication technology (ICT). For design, implementation, and deployment of smart cities leads to an exploration of artificial intelligence (AI), machine learning (ML), and deep learning (DL). In this work, the application of machine learning or deep learning is explored for applications of smart cities such as smart transportation systems (STSs), smart grids (SGs), smart healthcare, etc. Major challenges that are faced while designing smart city plans are such as the plant should be energy efficient network architecture, privacy-preserving as well as data needed to be efficiently analyzed of big data. To explore more accurate and precise decision-making system ML/AI techniques have shown their proficiency in the improvement of efficiency as well as to deploy low-cost smart network architecture design and management. In this chapter, an analytical study will be presented with the application of AI, ML, and DL in different sectors/application areas of smart cities. The main aim is to focus on and explore the efficiency level of ML/AI techniques. This chapter will also provide an in-depth analysis of innovative development, deployment, analysis, security, and management in smart cities. So, this chapter will help in the exploration of research challenges and future direction for researchers. © 2022 Scrivener Publishing LLC.
Author Keywords	Deep learning; IoT; Machine learning; Smart cities; Smart grids

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