Smart City Gnosys

Smart city article details

Title Machine Learning And Deep Learning Models For Privacy Management And Data Analysis In Smart Cites
ID_Doc 35886
Authors Bhowmik T.; Bhadwaj A.; Kumar A.; Bhushan B.
Year 2022
Published Intelligent Systems Reference Library, 215
DOI http://dx.doi.org/10.1007/978-3-030-90119-6_13
Abstract The smart city is a philosophy, that is established to manage the growing population, fulfil all the basic daily requirements of the citizens, maintain a green and healthy environment, manage energy consumption and help the people to adopt the modern technologies which make life easier. Smart city first designs the policy and by taking Information and Communication Technology in account it makes decisions. This paper deliberates concise analysis of the Machine Learning approaches in a smart city. This paper briefly concentrates on intelligent transport systems, smart grid, cybersecurity and healthcare system in the smart city using the applications of Machine Learning and Deep Reinforcement Learning. This paper aims to give a conclusive acquaintance of Artificial Intelligence, Machine Learning and Deep Reinforcement Learning approaches that can perform an essential role in the formation of a smart city. Finally, the paper highlights the complex problems that occur in a smart city and solution of these problems using Internet of Things, Artificial Intelligent, Machine Learning, Deep Reinforcement Learning techniques. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords Artificial intelligence (AI); Internet of things (IoT); Machine learning (ML); Smart city; Smart grid; Smart healthcare


Similar Articles


Id Similarity Authors Title Published
10071 View0.932Ullah Z.; Al-Turjman F.; Mostarda L.; Gagliardi R.Applications Of Artificial Intelligence And Machine Learning In Smart CitiesComputer Communications, 154 (2020)
35914 View0.931Mehta S.; Bhushan B.; Kumar R.Machine Learning Approaches For Smart City Applications: Emergence, Challenges And OpportunitiesIntelligent Systems Reference Library, 215 (2022)
41666 View0.931Bedi P.; Goyal S.B.; Islam S.M.N.; Liu J.; Budati A.K.Performance Analysis Of Machine Learning And Deep Learning Algorithms For Smart Cities: The Present State And Future DirectionsCognitive Computing Models in Communication Systems (2022)
8941 View0.911Shekarappa G. S.; Badi M.; Raj S.; Mahapatra S.An Overview Of Smart City Planning—The Future TechnologyArtificial Intelligence and Machine Learning in Smart City Planning (2023)
24482 View0.91Aseri V.; Choudhary S.K.; Kumar A.; Gupta A.Ethical And Legal Aspects Of Machine Learning In 5G-Enabled Smart City And Energy Grid Cyber-DefenseAdvances in AI for Simulation and Optimization of Energy Systems (2025)
35883 View0.91Oladipo I.D.; AbdulRaheem M.; Awotunde J.B.; Bhoi A.K.; Adeniyi E.A.; Abiodun M.K.Machine Learning And Deep Learning Algorithms For Smart Cities: A Start-Of-The-Art ReviewEAI/Springer Innovations in Communication and Computing (2022)
58847 View0.904Sharma A.; Rani S.Transforming Urban Spaces And Industries: The Power Of Machine Learning And Deep Learning In Smart Cities, Smart Industries, And Smart HomesEmerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges (2024)
10411 View0.9Ahmed S.; Hossain M.F.; Kaiser M.S.; Noor M.B.T.; Mahmud M.; Chakraborty C.Artificial Intelligence And Machine Learning For Ensuring Security In Smart CitiesAdvanced Sciences and Technologies for Security Applications (2021)
52939 View0.896Nosratabadi S.; Mosavi A.; Keivani R.; Ardabili S.; Aram F.State Of The Art Survey Of Deep Learning And Machine Learning Models For Smart Cities And Urban SustainabilityLecture Notes in Networks and Systems, 101 (2020)
10108 View0.895Heidari A.; Navimipour N.J.; Unal M.Applications Of Ml/Dl In The Management Of Smart Cities And Societies Based On New Trends In Information Technologies: A Systematic Literature ReviewSustainable Cities and Society, 85 (2022)