Industrial Internet of Things (IIoT). Группа авторов

a competitive advantage with the possibility of generating automated and more agile services, consequently impacting the final consumer.

References

      1. Gilchrist, A., Industry 4.0: the industrial internet of things, Springer Nature Switzerland AG., 2016, https://link.springer.com/book/10.1007%2F978-1-4842-2047-4

      2. Vaidya, S., Ambad, P., Bhosle, S., Industry 4.0–a glimpse. Procedia Manuf., 20, 233–238, 2018.

      3. Rojko, A., Industry 4.0 concept: background and overview. Int. J. Interact. Mob. Technol. (iJIM), 11, 5, 77–90, 2017.

      4. Xu, L.D., Xu, E.L., Li, L., Industry 4.0: state of the art and future trends. Int. J. Prod. Res., 56, 8, 2941–2962, 2018.

      5. Ardito, L. et al., Towards Industry 4.0. Bus. Process Manag. J., 2019.

      6. Sanders, A., Elangeswaran, C., Wulfsberg, J.P., Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. J. Ind. Eng. Manag. (JIEM), 9, 3, 811–833, 2016.

      7. Gunal, M.M. (Ed.), Simulation for Industry 4.0: Past, Present, and Future, Springer Nature Switzerland AG., 2019, https://link.springer.com/chapter/10.1007/978-3-030-04137-3_16

      8. Jaidka, H., Sharma, N., Singh, R., Evolution of IoT to IIoT: Applications and challenges. Proceedings of the International Conference on Innovative Computing & Communications (ICICC). 2020, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3603739

      9. Yu, X. and Guo, H., A Survey on IIoT Security. 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), IEEE, 2019.

      10. Mathur, P., Overview of IoT and IIoT, in: IoT Machine Learning Applications in Telecom, Energy, and Agriculture, pp. 19–43, Apress, Berkeley, CA, 2020.

      11. Leminen, S. et al., Industrial internet of things business models in the machine-to-machine context. Ind. Mark. Manag., 84, 298–311, 2020.

      12. França, R.P. et al., Improvement of the Transmission of Information for ICT Techniques Through CBEDE Methodology, in: Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities, pp. 13–34, IGI Global, Pennsylvania, USA, 2020.

      13. Franca, R.P. et al., Better Transmission of Information Focused on Green Computing Through Data Transmission Channels in Cloud Environments with Rayleigh Fading, in: Green Computing in Smart Cities: Simulation and Techniques, pp. 71–93, Springer, Cham, 2021.

      14. Al-Gumaei, K. et al., A survey of internet of things and big data integrated solutions for industries 4.0. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, IEEE, 2018.

      15. Monteiro, A.C.B. et al., Development of a laboratory medical algorithm for simultaneous detection and counting of erythrocytes and leukocytes in digital images of a blood smear, in: Deep Learning Techniques for Biomedical and Health Informatics, pp. 165–186, Academic Press, Cambridge, Massachusetts, EUA, 2020.

      16. França, R.P. et al., Potential proposal to improve data transmission in healthcare systems, in: Deep Learning Techniques for Biomedical and Health Informatics, pp. 267–283, Academic Press, Cambridge, Massachusetts, EUA, 2020.

      17. Al-Turjman, F. (Ed.), Artificial Intelligence in IoT, Springer Nature Switzerland AG., 2019, https://link.springer.com/book/10.1007%2F978-3-030-04110-6

      18. Hosseinian-Far, A., Ramachandran, M., Slack, C.L., Emerging trends in cloud computing, big data, fog computing, IoT and smart living, in: Technology for Smart Futures, pp. 29–40, Springer, Cham, 2018.

      19. França, R.P. et al., A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data, in: Big Data, IoT, and Machine Learning: Tools and Applications, p. 185, 2020.

      20. Cielen, D., Meysman, A., Ali, M., Introducing data science: big data, machine learning, and more, using Python tools, 320 pp., Manning Publications Co., New York, USA, May 2016. ISBN 9781633430037, https://www.manning.com/books/introducing-data-science

      21. Sangaiah, A.K., Thangavelu, A., Meenakshi Sundaram, V., Cognitive computing for Big Data systems over IoT. Gewerbestrasse, 11, 6330, Springer, 2018.

      22. Deng, L. and Liu, Y. (Eds.), Deep learning in natural language processing, Springer Nature Switzerland AG., 2018.

      23. Jackson, P.C., Introduction to artificial intelligence, Courier Dover Publications, Mineola, New York, USA, 2019.

      24. Flasiński, M., Introduction to artificial intelligence, Springer Nature Switzerland AG., 2016.

      25. Arrieta, A.B. et al., Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion, 58, 82–115, 2020.

      26. Semmler, S. and Rose, Z., Artificial intelligence: Application today and implications tomorrow. Duke L. Tech. Rev., 16, 85, 2017.

27. Ardito, L., et al., Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Bus. Process Manag. J., 2019, https://www.emerald.com/insight/content/doi/10.1108/BPMJ-04-2017-0088/full/html?journalCode=bpmj

      28. Raj, M. and Seamans, R., Primer on artificial intelligence and robotics. J. Organ. Des., 8, 1, 1–14, 2019.

      29. Zhu, L. and Jim Zheng, W., Informatics, data science, and artificial intelligence. Jama, 320, 11, 1103–1104, 2018.

      30. Carlos, R.C., Kahn, C.E., Halabi, S., Data science: big data, machine learning, and artificial intelligence. J. Am. Coll. Radiol., 15, 3, 497–498, 2018.

      31. Acemoglu, D. and Restrepo, P., Artificial intelligence, automation and work, National Bureau of Economic Research, Cambridge, MA, 2018.

      32. Nadimpalli, M., Artificial intelligence risks and benefits. Int. J. Innov. Res. Sci. Eng. Technol., 6, 6, 2017.

      33. Sola, D., Borioli, G.S., Quaglia, R., Predicting GPs’ engagement with artificial intelligence. Br. J. Health Care Manag., 24, 3, 134–140, 2018.

      34. Delamater, N., A brief history of artificial intelligence and how it’s revolutionizing customer service today, SmartMax Software, Inc, Tulsa, OK, 2018. https://images.g2crowd.com/uploads/attachment/file/73099/expirable-direct-uploads_2F469f2619-a917-446d-b2b8-14cf8f8d2c4e_2FChatBotWhitePaper2017.pdf

      35. Olson, N., The Internet of things. New Media Soc., 18, 4, 680–682, 2016, https://journals.sagepub.com/doi/abs/10.1177/1461444815621893a?journalCode=nmsa

      36. França, R.P. et al., Improvement of the Transmission of Information for ICT Techniques Through CBEDE Methodology, in: Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities, pp. 13–34, IGI Global, Pennsylvania, USA, 2020.

      37. Osuwa, A.A., Ekhoragbon,