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020 _a9789819901098
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024 7 _a10.1007/978-981-99-0109-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aParadigms of Smart and Intelligent Communication, 5G and Beyond
_h[electronic resource] /
_cedited by Amrita Rai, Dinesh Kumar Singh, Amit Sehgal, Korhan Cengiz.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXII, 293 p. 149 illus., 116 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 _aTransactions on Computer Systems and Networks,
_x2730-7492
505 0 _aArtificial Cognitive Computing for Smart Communications -- Green IoT using Machine Learning, Deep Learning Models for 5G Networks -- Integration of IOT and 5G Communication -- Role of IoT in Smart Communication and 5G using Antenna Array -- Applications of Deep Reinforcement Learning in Wireless Networks -- Detection of Consumption of Alcohol Using Artificial Intelligence -- Analysis of Finger Vein Pattern Recognition Technique using Machine Learning -- Machine Learning Techniques for Anomaly Detection -- Application of AI & ML in 5G Communication -- Software Defined Network-based Management Architecture for 5G Network -- Reversible Logic Based Single Layer Flip Flops and Shift Registers in QCA Framework for the Application of Nano-communication -- Machine Learning Technique for Few-mode Fiber Design with Inverse Modelling for 5G and Beyond -- IoT for Landslides: Applications, Technologies and Challenges -- A Review: Dust Cleaning Approach of Solar Photovoltaic System Using Emerging Technology -- Prediction of Heart Disease Using Hybrid Machine Learning Technique.
520 _aThis book focuses on both theory and applications of Artificial Intelligence and Machine Learning in the broad areas of communication and networking. This book focuses on the ongoing research work and future scope for various open research issues related to sustainable design, development, and analysis of smart communication, 5G and beyond, with the integration of Artificial intelligence and IoT. It addresses fundamental technology components for 5G and beyond, which include modern advancements in communication and networking in a real-world application. The book presents the convergence of Artificial Intelligence, Machine Learning, and IoT with 5G and beyond wireless networks to give some ice-breaking solutions in radio resource allocation, network management, and cybersecurity. This book will be a valuable resource for academicians, researchers, and professionals working in artificial intelligence/machine learning and its applications in communication and 5G.
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
650 0 _aTelecommunication.
650 1 4 _aArtificial Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aRai, Amrita.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKumar Singh, Dinesh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSehgal, Amit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCengiz, Korhan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819901081
776 0 8 _iPrinted edition:
_z9789819901104
776 0 8 _iPrinted edition:
_z9789819901111
830 0 _aTransactions on Computer Systems and Networks,
_x2730-7492
856 4 0 _uhttps://doi.org/10.1007/978-981-99-0109-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
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