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001443696 001__ 1443696
001443696 003__ OCoLC
001443696 005__ 20230310003557.0
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001443696 020__ $$a9783030870591$$q(electronic bk.)
001443696 020__ $$a3030870596$$q(electronic bk.)
001443696 020__ $$z3030870588
001443696 020__ $$z9783030870584
001443696 0247_ $$a10.1007/978-3-030-87059-1$$2doi
001443696 035__ $$aSP(OCoLC)1292034239
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001443696 049__ $$aISEA
001443696 050_4 $$aTK5105.8857
001443696 08204 $$a004.67/8$$223
001443696 24500 $$aArtificial intelligence-based Internet of Things systems /$$cSouvik Pal, Debashis De, Rajkumar Buyya, editors.
001443696 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001443696 300__ $$a1 online resource
001443696 336__ $$atext$$btxt$$2rdacontent
001443696 337__ $$acomputer$$bc$$2rdamedia
001443696 338__ $$aonline resource$$bcr$$2rdacarrier
001443696 347__ $$atext file$$bPDF$$2rda
001443696 4901_ $$aInternet of Things
001443696 500__ $$aIncludes index.
001443696 5050_ $$aPart I. Architecture, Systems, and Services -- Chapter1. Artificial Intelligence-based Internet of Things for Industry 5.0 -- Chapter2. IoT Ecosystem: Functioning Framework, Hierarchy of Knowledge and Intelligence -- Chapter3. Artificial Neural Networks and Support Vector Machine for IoT -- Chapter4. The Role of Machine Learning Techniques in Internet of Things Based Cloud Applications -- Chapter5. Deep Learning Frameworks for Internet of Things -- Chapter6. Fog-Cloud enabled Internet of Things using Extended Classifier System (XCS) -- Chapter7. Convolutional Neural Network (CNN) Based Signature Verification via Cloud-enabled Raspberry Pi System -- Chapter8. Machine to Machine (M2M), Radio Frequency Identification (RFID), Software-defined Networking (SDN): Facilitators of Internet of Things -- Chapter9. Architecture, Generative Model, Deep Reinforcement Learning for IoT Applications: Deep Learning Perspective -- Chapter10. Enabling Inference and Training of Deep Learning Models for AI Applications on IoT Edge Devices -- Chapter11. Non-volatile Memory based Internet of Things: A survey -- Chapter12. Integration of AI and IoT approaches for evaluating cyber Security risk on smart city -- Chapter13. Cognitive Internet of Things: Challenges and Solutions -- Part II. Applications -- Chapter14. An AI Approach to Rebalance Bike Sharing Systems with Adaptive User Incentive -- Chapter15. IoT-driven Bayesian Learning: A Case Study of Reducing Road Accidents of Commercial Vehicles on Highways -- Chapter16. On the Integration of AI and IoT Systems: A Case Study of Airport Smart Parking -- Chapter17. Vision-based End-to-End Deep Learning for Autonomous Driving in Next-Generation IoT Systems -- Chapter18. A Study on the Application of Bayesian Learning and Decision Trees IoT-enabled system in Post-harvest Storage.
001443696 506__ $$aAccess limited to authorized users.
001443696 520__ $$aThe book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem; Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world; Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems.
001443696 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 1, 2022).
001443696 650_0 $$aInternet of things.
001443696 650_0 $$aArtificial intelligence.
001443696 650_6 $$aInternet des objets.
001443696 650_6 $$aIntelligence artificielle.
001443696 655_0 $$aElectronic books.
001443696 7001_ $$aPal, Souvik.
001443696 7001_ $$aDe, Debashis.
001443696 7001_ $$aBuyya, Rajkumar,$$d1970-
001443696 77608 $$iPrint version:$$z3030870588$$z9783030870584$$w(OCoLC)1264137321
001443696 830_0 $$aInternet of things.
001443696 852__ $$bebk
001443696 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87059-1$$zOnline Access$$91397441.1
001443696 909CO $$ooai:library.usi.edu:1443696$$pGLOBAL_SET
001443696 980__ $$aBIB
001443696 980__ $$aEBOOK
001443696 982__ $$aEbook
001443696 983__ $$aOnline
001443696 994__ $$a92$$bISE