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008 211007s2022 nyu ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429328220
_q(electronic bk.)
020 _a0429328222
_q(electronic bk.)
020 _z9781032213354
020 _z9780367348250
020 _a9781000547252
_q(electronic bk. : PDF)
020 _a1000547256
_q(electronic bk. : PDF)
020 _a9781000547269
_q(electronic bk. : EPUB)
020 _a1000547264
_q(electronic bk. : EPUB)
035 _a(OCoLC)1273727781
035 _a(OCoLC-P)1273727781
050 4 _aTK5105.8857
_b.R34 2022
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aCOM
_x060030
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 4 _a004.67/8
_223
100 1 _aRaj, Pethuru,
_eauthor.
245 1 0 _aCognitive Internet of things :
_benabling technologies, platforms, and use cases /
_cPethuru Raj, Anupama C. Raman, Harihara Subramanian.
250 _aFirst edition.
264 1 _aNew York :
_bAuerbach Publications,
_c2022.
300 _a1 online resource (288 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThe Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronics devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson, and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: Demystifying the cognitive computing paradigm Delineating the key capabilities of cognitive cloud environments Deep learning algorithms for cognitive IoT solutions Natural language processing (NLP) methods for cognitive IoT systems Designing a secure infrastructure for cognitive IoT platforms and applications
505 0 _a1. Describing the Cognitive IoT Paradigm2. Demystifying the Cognitive Computing Paradigm3. The Cognitive IoT: The Platforms, Technologies, and their Use cases4. Delineating the Key Capabilities of Cognitive Cloud Environments5. Machine Learning (ML) Algorithms for enabling the Cognitive Internet of Things (CIoT)6. Unsupervised and Semi-Supervised Machine Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms for Cognitive IoT Solutions8. Computer Vision (CV) Technologies and Tools for Vision-based Cognitive IoT Systems9. Natural Language Processing (NLP) Methods for Cognitive IoT Systems10. Design of a Secure Infrastructure for Cognitive IoT platforms and Applications11. Revolutionizing Manufacturing using Cognitive IoT Technologies12. Edge AI ⁰́₃ Consumer, Social and Industry Use Cases
588 _aOCLC-licensed vendor bibliographic record.
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
650 7 _aCOMPUTERS / Networking / Intranets & Extranets
_2bisacsh
650 0 _aInternet of things.
650 0 _aSoft computing.
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
700 1 _aRaman, Anupama C.,
_eauthor.
700 1 _aSubramanian, Harihara,
_eauthor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429328220
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4528
_d4528