Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

被引:0
作者
Amin Ullah
Syed Myhammad Anwar
Jianqiang Li
Lubna Nadeem
Tariq Mahmood
Amjad Rehman
Tanzila Saba
机构
[1] Beijing University of Technology,Faculty of Information Technology
[2] University of Central Punjab,Department of Computer Science, Faculty of Information Technology and Computer Science
[3] Children’s National Hospital,Shaikh Zayed institute
[4] Beijing Engineering Research Center for IoT Software and Systems,Department of Telecommunication Engineering
[5] University of Engineering and Technology Taxila,Artificial Intelligence and Data Analytics (AIDA) Lab
[6] CCIS Prince Sultan University,Faculty of Information Sciences
[7] University of Education,undefined
来源
Complex & Intelligent Systems | 2024年 / 10卷
关键词
Smart cities; Applications of smart cities; Internet of Things (IoT); Data acquisition technology; Wireless and mobile networking; Deep learning; [inline-graphic not available: see fulltext]; [inline-graphic not available: see fulltext]; [inline-graphic not available: see fulltext]; [inline-graphic not available: see fulltext]; [inline-graphic not available: see fulltext];
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学科分类号
摘要
This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that rely on large-scale data collection, analysis, and decision-making. This paper presents an overview of smart cities’ various applications and discusses the challenges associated with implementing IoT and machine learning in urban environments. The paper also compares different case studies of successful smart city implementations utilizing IoT and machine learning technologies. The findings suggest that these technologies have the potential to transform urban environments and enable the creation of more livable, sustainable, and efficient cities. However, significant challenges remain regarding data privacy, security, and ethical considerations, which must be addressed to realize the full potential of smart cities.
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页码:1607 / 1637
页数:30
相关论文
共 399 条
[1]  
Evans D(2011)The internet of things: how the next evolution of the internet is changing everything CISCO White Paper 1 1-11
[2]  
Nadeem L(2021)Efficient resource allocation using distributed edge computing in D2D based 5G-HCN with network slicing IEEE Access 9 134148-134162
[3]  
Amin Y(2011)From intelligent to smart cities Intell Build Int 3 140-152
[4]  
Loo J(2019)High-performance medicine: the convergence of human and artificial intelligence Nat Med 25 44-56
[5]  
Azam MA(2022)An intelligent fault detection approach based on reinforcement learning system in wireless sensor network J Supercomput 78 3646-3675
[6]  
Chai KK(2017)Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks Radiology 284 574-582
[7]  
Deakin M(2018)Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy Circulation 138 1623-1635
[8]  
Al Waer H(2018)Fast and accurate view classification of echocardiograms using deep learning NPJ Digit Med 1 1-8
[9]  
Topol EJ(2018)Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration NPJ Digit Med 1 1-7
[10]  
Mahmood T(2018)Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study Lancet 392 2388-2396