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Title	Framework For Intelligent Smart City Deployment Via Artificial Intelligence Software Networking
ID_Doc	27034
Authors	William P.; Shrivastava A.; Chauhan H.; Nagpal P.; Vasantha Kumari T.N.; Singh P.
Year	2022
Published	Proceedings of 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022
DOI	http://dx.doi.org/10.1109/ICIEM54221.2022.9853119
Abstract	To take advantage of smart city projects and reap the advantages they promise, the government, educational institutions, non-governmental organizations (NGOs), and private businesses are all focusing their attention on them. There are a lot of people involved in smart city programs, and each of them has a unique set of demands that need to be addressed. For creating and delivering smart city initiatives, this paper examines and analyses the effects and consequences of adopting software-defined networking and artificial intelligence. The bulk of smart city initiatives consider big data to be an essential component. Software-defined networking and machine learning have a significant impact on innovation, and a smart city use case illustrates the potential benefits of cognitive learning for smart cities. Efforts to make cities more efficient and intelligent may need new and imaginative methods of doing things, it is said. © 2022 IEEE.
Author Keywords	Artificial Intelligence; Innovation; Machine Learning; Openflow; Smart City; Software-Defined Networking

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