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000925030 019__ $$a1137827589$$a1137838159
000925030 020__ $$a9783030303679$$q(electronic book)
000925030 020__ $$a3030303675$$q(electronic book)
000925030 020__ $$z9783030303662
000925030 020__ $$z3030303667
000925030 0247_ $$a10.1007/978-3-030-30
000925030 035__ $$aSP(OCoLC)on1138678816
000925030 035__ $$aSP(OCoLC)1138678816$$z(OCoLC)1137827589$$z(OCoLC)1137838159
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000925030 049__ $$aISEA
000925030 050_4 $$aTK5105.8857
000925030 08204 $$a004.67/8$$223
000925030 24500 $$aIntelligent Internet of Things :$$bfrom device to fog and cloud /$$cFarshad Firouzi, Krishnendu Chakrabarty, Sani Nassif, editors.
000925030 260__ $$aCham :$$bSpringer,$$c2020.
000925030 300__ $$a1 online resource (647 pages)
000925030 336__ $$atext$$btxt$$2rdacontent
000925030 337__ $$acomputer$$bc$$2rdamedia
000925030 338__ $$aonline resource$$bcr$$2rdacarrier
000925030 500__ $$aIncludes index.
000925030 5050_ $$aIntroduction -- Engineering an AI-driven IoT platform -- Smart and connected IoT devices -- Engineering IoT networks -- IoT cloud architecture and design -- End-to-end security -- Machine learning fundamentals -- Big Data and advanced analytics -- AI-driven IoT for smart health -- Biomedical engineering fundamentals -- Biosensors and connected wearable eHealth devices -- Applications of machine learning & IoT in healthcare -- AI-driven IoT eHealth prototyping lab -- Conclusion.
000925030 506__ $$aAccess limited to authorized users.
000925030 520__ $$aThis holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles. Presents an efficient method to understand the most appropriate positioning of a business against its competitors by digitally transforming into an agile and profitable business based on AI-driven IoT solutions; Breaks down the IoT ecosystem into smaller components, from device, to connectivity and to cloud. We will explain the intersection of these components and discuss how to decide on the right mix of technology given the constraints of each application; Tailored to bridge the gap between IoT, Artificial In telligence, Big Data Analytics, Distributed Ledger Technologies, Cyber-physical Systems, and Security. This book will show readers how organizations can exploit, design, and utilize scalable intelligent IoT solutions to improve the levels of security, success of the services, ROI, revenue, and customer engagement; Discusses real case studies (e.g., from IBM Watson and Robert Bosch) and practical applications, highlighting the importance of intelligent IoT in several vertical & horizontal markets; Addresses all these important aspects of novel IoT technologies for smart healthcare - wearable sensors, body area sensors, advanced pervasive healthcare systems, collaborative machine learning, and Big Data analytics.
000925030 588__ $$aDescription based on print version record.
000925030 650_0 $$aInternet of things.
000925030 7001_ $$aFirouzi, Farshad.
000925030 7001_ $$aChakrabarty, Krishnendu.
000925030 7001_ $$aNassif, Sani$$q(Sani Richard)
000925030 77608 $$iPrint version:$$aFirouzi, Farshad$$tIntelligent Internet of Things : From Device to Fog and Cloud$$dCham : Springer,c2020$$z9783030303662
000925030 852__ $$bebk
000925030 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-30367-9$$zOnline Access$$91397441.1
000925030 909CO $$ooai:library.usi.edu:925030$$pGLOBAL_SET
000925030 980__ $$aEBOOK
000925030 980__ $$aBIB
000925030 982__ $$aEbook
000925030 983__ $$aOnline
000925030 994__ $$a92$$bISE