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AI Based Smart IoT Systems

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Artificial Intelligence in IoT and Cyborgization

Abstract

The integration of IoT and AI has a potential to generate more efficient solutions and experiences. By combining the incoming data from IoT devices you can get more value from your network and improve your business. Artificial Intelligence is a critical part of IoT that makes intelligent network management and operations successful. From combination of these two modern technologies, smart gadgets will be created allowing businesses to make strategic decisions with least percentage of error. The applications of IoT are very wide such as virtual reality, mixed reality, augmented reality, use of it in healthcare, agriculture, disaster management, waste management and much more. The integration of AI with IoT has made possible many smart products commonly available in the market such as smart locks, Green IQ smart garden hubs, SmartMat and smart controllers. We are already on our way to a cyborg civilization; a cyborg is an entity where technology and biology are integrally attached. This could upgrade the human limits and abilities of a human and by this one could become more immune to injuries and have a much higher intelligence as well.

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References

  1. https://www.ibm.com/blogs/internet-of-things/what-is-the-iot/

  2. https://www.byteant.com/blog/5-best-open-source-iot-frameworks/

  3. https://www.techtarget.com/iotagenda/tip/A-comprehensive-view-of-the-4-IoT-architecture-layers

  4. https://iotdunia.com/why-do-we-need-the-internet-of-things/

  5. https://www.analyticssteps.com/blogs/ai-iot-benefits-and-applications

  6. https://www.mdpi.com/journal/sensors/special_issues/embedded_artificial_intelligence

  7. https://www.xenonstack.com/blog/edge-computing

  8. https://www.mdpi.com/journal/sensors/special_issues/IoT_SmartApp

  9. Jha DN, Alwasel K, Alshoshan A, Huang X, Naha RK, Battula SK, Garg S, Puthal D, James P, Zomaya AY, Dustdar S, Ranjan R (2019) IoT sim-edge: a simulation framework for modelling the behaviour of IoT and edge computing environments. Softw: Pract Exp

    Google Scholar 

  10. iFogSim: a simulator for edge computing. Fog Computing and IoT (opensourceforu.com)

    Google Scholar 

  11. Zeng X, Garg SK, Strazdins P, Jayaraman PP, Georgakopoulos D, Ranjan R (2017) Iotsim: a simulator for analysing iot applications. J Syst Archit 72:93–107

    Article  Google Scholar 

  12. https://www.vertica.com/

  13. https://sensiml.com/

  14. Augmented Reality (AR) Definition (investopedia.com)

    Google Scholar 

  15. Unleashing the Power of Data with IoT and Augmented Reality | BCG

    Google Scholar 

  16. Gardening in the age of new | technologies Lausanne Cities (lausannecites.ch)

    Google Scholar 

  17. Zemote IoT Smart Door Lock with Fingerprint, Password and App Access, 34 × 7.5 × 3 cm: Amazon.in: Home Improvement

    Google Scholar 

  18. SmartMat Info (iotlineup.com)

    Google Scholar 

  19. Logitech Harmony Elite Info (iotlineup.com)

    Google Scholar 

  20. Warwick K (2012) Encyclopedia of applied ethics, 2nd edn

    Google Scholar 

  21. Cyborg civilization: using brain machine interface and IOT for human enhancement (brainlatam.com)

    Google Scholar 

  22. Gray CH (ed) (1995) The cyborg handbook. Routledge, New York

    Google Scholar 

  23. Doug Robinson: Cyborg Translation (olemiss.edu)

    Google Scholar 

  24. Cyborg-Wikipedia

    Google Scholar 

  25. Lalitha K, Kumar DR, Poongodi C, Arumugam J (2021) Healthcare internet of things—The role of communication tools and technologies. In: Blockchain, internet of things, and artificial intelligence. Chapman and Hall/CRC, pp 331–348

    Google Scholar 

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Correspondence to Bhavya Verma .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Pandey, G., Kumar, M., Jadon, S., Verma, B., Gupta, K. (2023). AI Based Smart IoT Systems. In: Dhanaraj, R.K., Rawal, B.S., Krishnamoorthi, S., Balusamy, B. (eds) Artificial Intelligence in IoT and Cyborgization. Studies in Computational Intelligence, vol 1103. Springer, Singapore. https://doi.org/10.1007/978-981-99-4303-6_2

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  • DOI: https://doi.org/10.1007/978-981-99-4303-6_2

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-99-4303-6

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