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020 _a9783030449070
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024 7 _a10.1007/978-3-030-44907-0
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050 4 _aQA76.76.A65
072 7 _aUB
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072 7 _aCOM032000
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072 7 _aUX
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082 0 4 _a005.3
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245 1 0 _aConvergence of Artificial Intelligence and the Internet of Things
_h[electronic resource] /
_cedited by George Mastorakis, Constandinos X. Mavromoustakis, Jordi Mongay Batalla, Evangelos Pallis.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVI, 439 p. 208 illus., 137 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternet of Things, Technology, Communications and Computing,
_x2199-1081
505 0 _aFog Computing: Data Analytics for Time-Sensitive Applications -- Medical Image Watermarking in Four Levels Decomposition of DWT Using Multiple Wavelets in IoT Emergence -- Optimised Statistical Model Updates in Distributed Intelligence Environments -- Intelligent Vehicular Networking Protocols -- Towards Ubiquitous Privacy Decision Support:Machine Prediction of Privacy Decisions in IoT -- Energy-Efficient Design of Data Center Spaces in the Era of IoT Exploiting the Concept of Digital Twins -- In-network Machine Learning Predictive Analytics: A Swarm Intelligence Approach -- Machine Learning Techniques for Wireless-Powered Ambient Backscatter communications -- Processing Systems for Deep Learning Inference on Edge Devices -- Power Domain based Multiple Access for IoT Deployment: Two-way Transmission Mode and Performance Analysis. .
520 _aThis book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.
650 0 _aApplication software.
_935224
650 0 _aTelecommunication.
_910437
650 0 _aArtificial intelligence.
_93407
650 0 _aComputational intelligence.
_97716
650 1 4 _aComputer and Information Systems Applications.
_935225
650 2 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational Intelligence.
_97716
700 1 _aMastorakis, George.
_eeditor.
_4edt
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700 1 _aMavromoustakis, Constandinos X.
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700 1 _aBatalla, Jordi Mongay.
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_935228
700 1 _aPallis, Evangelos.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030449087
776 0 8 _iPrinted edition:
_z9783030449094
830 0 _aInternet of Things, Technology, Communications and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-44907-0
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