Smart City: Artificial Intelligence and Machine Learning Applications
DOI:
https://doi.org/10.18486/ijcsnt/13.3.183Keywords:
Smart City, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Urbanization, Information and Communication Technology, IoT, Blockchain, Intelligent Transportation Systems, Cybersecurity, 5G CommunicationAbstract
When development, urban smart handle are supposed effectively cities to the brought problems by about rapidly increasing urbanization, maximize use, energy promote environmental sustainability, living and raise economic standards, and contemporary enable to people use technology communication for and information ease. with ICT the is smart-city essential paradigm to and plays a in key the role creation of policies, the process making of decisions, their and execution, provision the of useful services. explores This how article deep reinforcement learning (DRL), machine learning (ML), and artificial intelligence (AI) have shaped development the of smart cities. cutting-edge These methods are crucial for developing best the policies to address intricate the problems that with arise city smart projects. study The with concludes outline an future of possibilities and research problems, emphasizing the tremendous potential these of strategies achieving in the overall goal a of smart city.
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