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001 on1263250067
003 OCoLC
005 20240523125543.0
006 m o d
007 cr |||||||||||
008 210805s2022 nju ob 001 0 eng
010 _a 2021033025
040 _aDLC
_beng
_erda
_cDLC
_dOCLCO
_dOCLCF
_dDG1
_dIEEEE
_dOCLCO
_dN$T
_dOCLCQ
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020 _a9781119685265
_q(electronic bk. : oBook)
020 _a1119685265
_q(electronic bk. : oBook)
020 _a9781119685210
_q(epub)
020 _a1119685214
_q(epub)
020 _a1119685230
_q(adobe pdf)
020 _a9781119685234
_q(electronic bk.)
020 _z9781119685180
_q(hardback)
024 7 _a10.1002/9781119685265
_2doi
029 1 _aAU@
_b000069739599
029 1 _aAU@
_b000075338078
035 _a(OCoLC)1263250067
037 _a9622345
_bIEEE
042 _apcc
050 0 0 _aTK5105.8857
082 0 0 _a004.67/8
_223
049 _aMAIN
100 1 _aYarali, Abdulrahman,
_eauthor.
245 1 0 _aIntelligent connectivity :
_bAI, IoT, and 5G /
_cAbdulrahman Yarali.
263 _a2111
264 1 _aHoboken, NJ, USA :
_bWiley,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _a"This book focuses on the fusion between the core technologies of the future ? Artificial Intelligence (AI), 5G, and the Internet of Things (IoT), exploring how they can be mutually supportive. AI, IoT, and 5G are the pillars that lead digital transformation, and the combination of super-fast 5th generation networks with AI and IoT will usher in a new age of intelligent connectivity, particularly beneficial to transportation, logistics, education, healthcare, entertainment, public safety/security and industrial and manufacturing operations. The book will offer technical and economic insights about intelligent connectivity as a key part of transformation in the 4th industrial revolution. The reader (technical and non-technical) will benefit from a comprehensive discussion of Artificial Intelligence, 5G, IoT and machine-learning and how they are vital in the period of open-source programming and moderate cloud computing"--
_cProvided by publisher.
588 _aDescription based on print version record and CIP data provided by publisher; resource not viewed.
505 0 _aPreface -- Acknowledgement -- Introduction -- 1 Technology Adoption and Emerging Trends -- 1.1 Introduction -- 1.2 Trends in Business technology -- 1.3 AI-Fueled Organizations -- 1.4 Connectivity of Tomorrow -- 1.5 Moving Beyond Marketing -- 1.6 Cloud Computing -- 1.7 Cybersecurity, Privacy, and Risk Management -- 1.8 Conclusion -- 2 Telecommunication Transformation and Intelligent Connectivity -- 2.1 Introduction -- 2.2 Cybersecurity Concerns in the 5G World -- 2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G -- 2.4 Intelligent Connectivity Use-Cases -- 2.5 Industrial and Manufacturing Operations -- 2.6 Healthcare -- 2.7 Public Safety and Security -- 2.8 Conclusion -- 3 The Internet of Things (IoT): Potentials and the Future Trends -- 3.1 Introduction -- 3.2 Achieving the Future of IoT -- 3.3 Commercial Opportunities for IoT -- 3.4 The Industrial Internet of Things -- 3.5 Future Impact of IoT in Our Industry -- 3.6 Data Sharing in the IoT Environment -- 3.7 IoT Devises Environment Operation -- 3.8 Interoperability Issues of IoT -- 3.9 IoT-Cloud -Application -- 3.10 Regulation and Security Issues of IoT -- 3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues -- 3.12 Future of IoT -- 3.13 Conclusion -- 4 The Wild Wonders of 5G Wireless Technology -- 4.1 Introduction -- 4.2 5G Architecture -- 4.3 5G Applications -- 4.4 5G Network Architecture -- 4.5 Security and Issues of 5G -- 4.6 IoT Devices in 5G Wireless -- 4.7 Big Data Analytics in 5G -- 4.8 AI Empowers a Wide Scope of Use Cases -- 4.9 Conclusion -- 5 Artificial Intelligence Technology -- 5.1 Introduction -- 5.2 Core Concepts of Artificial Intelligence -- 5.3 Machine Learning and Applications -- 5.4 Deep Learning -- 5.5 Neural Networks Follow a Natural Model -- 5.6 Classifications of Artificial Intelligence -- 5.7 Trends in Artificial Intelligence -- 5.8 Challenges of Artificial Intelligence -- 5.9 Funding Trends in Artificial Intelligence -- 5.10 Conclusion -- 6 AI, 5G, & IoT: Driving Forces Towards the Industry Technology Trends -- 6.1 Introduction -- 6.2 Fifth Generation of Network Technology -- 6.3 Internet of Things (IoT) -- 6.4 Industrial Internet of Things -- 6.5 IoT in Automotive -- 6.6 IoT in Agriculture -- 6.7 AI, IoT, and 5G Security -- 6.8 Conclusion -- 7 Intelligent Connectivity: A New Capabilities to Bring Complex Use Cases -- 7.1 Introduction -- 7.2 Machine-to-Machine Communication and the Internet of Things -- 7.3 Convergence of Internet of Things, Artificial Intelligence and 5G -- 7.4 Intelligent Connectivity Applications -- 7.5 Challenges and Risks of Intelligent Connectivity -- 7.6 Recommendations -- 7.7 Conclusion -- 8 IoT: Laws, Policies and Regulations -- 8.1 Introduction -- 8.2 Recently Published laws and Regulations -- 8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act -- 8.4 General View -- 8.5 Relaxation of laws by the Federal Aviation Administration's (FAA) -- 8.6 Supporting Innovation of Self Driving Cars by Allowing Policies -- 8.7 Recommendations -- 8.8 Conclusion -- 9 Artificial Intelligence and Blockchain -- 9.1 Introduction -- 9.2 Decentralized Intelligence -- 9.3 Applications -- 9.4 How Artificial Intelligence and Blockchain will Affect Society -- 9.5 How Augmented Reality Works -- 9.6 Mixed Reality -- 9.7 Virtual Reality -- 9.8 Key Components in a Virtual Reality System -- 9.9 Augmented Reality Uses -- 9.10 Applications of Virtual Reality in Business -- 9.11 The Future of Blockchain -- 9.12 Blockchain Applications -- 9.13 Blockchain and the Internet of Things -- 9.14 Law Coordination -- 9.15 Collaboration for Blockchain Success -- 10 Digital Twin Technology -- 10.1 Introduction -- 10.2 The Timeline and History of Digital Twin Technology -- 10.3 Technologies Employed in Digital Twin Models -- 10.4 The Dimension of Digital Twins Models -- 10.5 Digital Twin and Other Technologies -- 10.6 Digital Twin Technology Implementation -- 10.7 Benefits of Digital Twin -- 10.8 Application of Digital Twins -- 10.9 Challenges of Digital Twins -- 11 Artificial Intelligence, Big Data Analytics, and IoT -- 11.1 Introduction -- 11.2 Analytic -- 11.3 AI Technology in Big Data and IoT -- 11.4 AI Technology Applications and Use Cases -- 11.5 AI Technology Impact on the Vertical Market -- 11.6 AI in Big Data and IoT Market Analysis and Forecasts -- 11.7 Conclusion -- 12 Digital Transformation Trends in the Automotive Industry -- 12.1 Introduction -- 12.2 Evolution of Automotive Industry -- 12.3 Data-Driven Business Model and data monetization -- 12.4 Services of Data-Driven Business Model -- 12.5 Values of New Services in the New Automotive Industry -- 12.6 Conclusion -- 13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home -- 13.1 Introduction -- 13.2 Wireless Sensor Networks -- 13.3 Power Grid Impact -- 13.4 Benefits of Smart Grid -- 13.5 Internet of Things -- 13.6 Internet of Things on Smart Grid -- 13.7 Smart Grid and Artificial Intelligence -- 13.8 Smart Grid Programming -- 13.9 Conclusion -- 14 Artificial Intelligence, 5G and IoT: Security -- 14.1 Introduction -- 14.2 Understanding IoT -- 14.3 Artificial Intelligence -- 14.4 5G Network -- 14.5 Emerging Partnership of Artificial Intelligence, IoT, 5G, and Cybersecurity -- 14.6 Conclusion -- 15 Intelligent Connectivity and Agriculture -- 15.1 Introduction -- 15.2 The Potential of Wireless Sensors and IoT in Agriculture -- 15.3 IoT Sensory Technology with Traditional Farming -- 15.4 IoT Devices and Communication Techniques -- 15.5 IoT and all Crop Stages -- 15.6 Drone in Farming Applications -- 15.7 Conclusion -- 16 Applications of Artificial Intelligence, ML, and DL -- 16.1 Introduction -- 16.2 Building Artificial Intelligence Capabilities -- 16.3 What is Machine Learning? -- 16.4 Deep Learning -- 16.5 Machine Learning vs. Deep Learning Comparison -- 16.6 Feature Engineering -- 16.7 Application of Machine Learning -- 16.8 Applications of Deep learning -- 16.9 Future Trends -- 17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation -- 17.1 Introduction -- 17.2 Big Data -- 17.2 Machine Learning-Based Medical Systems -- 17.3 Artificial Intelligence for Stock Market Prediction -- 17.3.1 Application of Artificial Intelligence by Investors -- 17.4 Trends in AI and Big Data Technologies Drive Business Innovation -- 17.5 Driving Innovation Through Big Data -- 17.6 The Convergence of AI and Big Data -- 17.7 How AI and Big Data Will Combine to Create Business Innovation -- 17.8 AI and Big Data for Technological Innovation -- 17.9 AI and Production -- 17.10 AI and ML Operations Research -- 17.11 Collaboration Between Machines and Human -- 17.12 Generative Designs -- 17.13 Adapting to a Changing Market -- 17.14 Conclusion -- Index.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aInternet of things.
650 0 _a5G mobile communication systems.
650 0 _aArtificial intelligence
_xIndustrial applications.
650 6 _aInternet des objets.
650 6 _aCommunications mobiles 5G.
650 6 _aIntelligence artificielle
_xApplications industrielles.
650 7 _a5G mobile communication systems
_2fast
650 7 _aArtificial intelligence
_xIndustrial applications
_2fast
650 7 _aInternet of things
_2fast
758 _ihas work:
_aINTELLIGENT CONNECTIVITY (Text)
_1https://id.oclc.org/worldcat/entity/E39PCXDdFpjr4gpgXKR64xdXJP
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aYarali, Abdulrahman.
_tIntelligent connectivity
_dHoboken, NJ, USA : Wiley, 2022
_z9781119685180
_w(DLC) 2021033024
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119685265
938 _aEBSCOhost
_bEBSC
_n3047004
994 _a92
_bINLUM
999 _c12819
_d12819