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245 1 0 _aIntelligent Internet of Things for Healthcare and Industry
_h[electronic resource] /
_cedited by Uttam Ghosh, Chinmay Chakraborty, Lalit Garg, Gautam Srivastava.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXV, 384 p. 120 illus., 108 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aInternet of Things, Technology, Communications and Computing,
_x2199-1081
505 0 _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.
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 researchacross 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.
650 0 _aCooperating objects (Computer systems).
650 0 _aTelecommunication.
650 0 _aApplication software.
650 1 4 _aCyber-Physical Systems.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aGhosh, Uttam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChakraborty, Chinmay.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGarg, Lalit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSrivastava, Gautam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030814724
776 0 8 _iPrinted edition:
_z9783030814748
776 0 8 _iPrinted edition:
_z9783030814755
830 0 _aInternet of Things, Technology, Communications and Computing,
_x2199-1081
856 4 0 _uhttps://doi.org/10.1007/978-3-030-81473-1
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