001444416 000__ 04746cam\a2200541Ia\4500
001444416 001__ 1444416
001444416 003__ OCoLC
001444416 005__ 20230310003708.0
001444416 006__ m\\\\\o\\d\\\\\\\\
001444416 007__ cr\un\nnnunnun
001444416 008__ 220215s2022\\\\sz\\\\\\o\\\\\001\0\eng\d
001444416 019__ $$a1296940209$$a1298392577$$a1299384115
001444416 020__ $$a9783030814731$$q(electronic bk.)
001444416 020__ $$a3030814734$$q(electronic bk.)
001444416 020__ $$z3030814726
001444416 020__ $$z9783030814724
001444416 0247_ $$a10.1007/978-3-030-81473-1$$2doi
001444416 035__ $$aSP(OCoLC)1296910006
001444416 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dNLSHB$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ
001444416 049__ $$aISEA
001444416 050_4 $$aR859.7.A78
001444416 08204 $$a610.285/63$$223
001444416 24500 $$aIntelligent Internet of Things for healthcare and industry/$$cUttam Ghosh, Chinmay Chakraborty, Lalit Garg, Gautam Srivastava, editors.
001444416 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001444416 300__ $$a1 online resource
001444416 4901_ $$aInternet of Things
001444416 500__ $$aIncludes index.
001444416 5050_ $$aChapter 1. Effectiveness of machine and deep learning in IoT enabled devices for healthcare system -- Chapter 2. Network protocols for the internet of health things -- Chapter 3. Affective computing for eHealth using low cost remote internet-of-things based EMG platform -- Chapter 4. Application of internet of things (IoT) to fight Covid-19 epidemic -- Chapter 5. An enhanced IoT based array of sensors for monitoring patients health -- Chapter 6. A secured smart healthcare monitoring systems using blockchain technology -- Chapter 7. Computational intelligence in healthcare with special emphasis on bioinformatics and internet of medical things -- Chapter 8. A review on security and privacy of internet of medical things -- Chapter 9. An Introduction to Wearable Sensor Technology -- Chapter 10. A fog based intelligent secured IoMT framework for early diabetes prediction -- Chapter 11. A comprehensive analysis of sustainable IoT infrastructure in the post-covid-19 era -- Chapter 12. Reinforced rider optimization algorithm for diagnosis of autism spectrum disorder and medical data -- Chapter 13. Machine Learning for Fog Computing Based IoT Networks in Smart City Environment -- Chapter 14. QoS and Energy Efficiency Using Green Cloud Computing -- Chapter 15. Privacy issues in smart IoT for Healthcare and Industry -- Chapter 16. Intelligent IoT for automotive industry 4.0 - challenges, opportunities, and future trends -- Chapter 17. Smart security for industrial and healthcare IoT applications.
001444416 506__ $$aAccess limited to authorized users.
001444416 520__ $$aThis book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.
001444416 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 28, 2022).
001444416 650_0 $$aArtificial intelligence$$xMedical applications.
001444416 650_0 $$aInternet of things.
001444416 650_6 $$aIntelligence artificielle en médecine.
001444416 650_6 $$aInternet des objets.
001444416 655_0 $$aElectronic books.
001444416 7001_ $$aGhosh, Uttam,$$eeditor.
001444416 7001_ $$aChakraborty, Chinmay,$$d1984-$$eeditor.$$1https://isni.org/isni/0000000495642785
001444416 7001_ $$aGarg, Lalit,$$d1977-$$eeditor.$$1https://isni.org/isni/0000000496307946
001444416 7001_ $$aSrivastava, Gautam,$$eeditor.
001444416 77608 $$iPrint version:$$z3030814726$$z9783030814724$$w(OCoLC)1257402703
001444416 830_0 $$aInternet of things.
001444416 852__ $$bebk
001444416 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-81473-1$$zOnline Access$$91397441.1
001444416 909CO $$ooai:library.usi.edu:1444416$$pGLOBAL_SET
001444416 980__ $$aBIB
001444416 980__ $$aEBOOK
001444416 982__ $$aEbook
001444416 983__ $$aOnline
001444416 994__ $$a92$$bISE