EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 374 (2026) EPJ Web Conf., 374 (2026) 03003 References
Open Access
Issue
EPJ Web Conf.
Volume 374, 2026
1st International Conference on Electronic, Optical Devices and Intelligent Systems (ICEODIS 2026)
Article Number 03003
Number of page(s) 6
Section Smart Energy, IoT and Emerging Technologies
DOI https://doi.org/10.1051/epjconf/202637403003
Published online 24 June 2026
  1. I Fenthaler et al., “Digital transformation of learning organizations,” Springer, 2021. [Google Scholar]
  2. M. Alqahtani and S. Mohammad, “The impact of COVID-19 on e-learning,” IEEE Access, vol. 9, pp. 124123-124135, 2021. [Google Scholar]
  3. W. Fichten et al., “Accessibility of e-learning for students with visual impairments,” J. Visual Impairment & Blindness, vol. 114, no. 4, pp. 261274, 2020. [Google Scholar]
  4. S. Burgstahler, “Universal design in higher education,” Harvard Education Press, 2015. [Google Scholar]
  5. A. Al-Khanjari et al., “loT-based assistive technologies for PWD, “ IEEE Access, vol. 10, pp. 35764-35783, 2022. [Google Scholar]
  6. G. Riva et al., “Neuroscience of virtual reality,” Cyberpsychology, Behavior, and Social Networking, vol. 22, no. 1, pp. 82-96, 2019. [Google Scholar]
  7. A. Mosenia and N. Jha, “A comprehensive study of IoT security,” IEEE Trans. Emerging Topics in Computing, vol. 5, no. 4, pp. 586-602, 2017. [Google Scholar]
  8. Y. Yang et al., “A survey on security and privacy in IoT,” IEEE IoT Journal, vol. 4, no. 5, pp. 1250-1258, 2017. [Google Scholar]
  9. K. Lazar and D. Feng, “Privacy concerns in wearable health monitoring,” ACM Trans. Computing for Healthcare, vol. 2, no. 1, pp. 1-21, 2021. [Google Scholar]
  10. M. Turkanovie et al., “EduCTX: A blockchain-based higher education credit platform,” IEEE Access, vol. 6, pp. 5112-5127, 2018. [Google Scholar]
  11. G. Chen et al., “Exploring blockchain technology for education,” Smart Learning Environments, vol. 5, no. 1, pp. 1-10, 2018. [Google Scholar]
  12. M. Sharples and J. Domingue, “The blockchain and kudos,” in Proc. EC-TEL, 2016, pp. 490-496. [Google Scholar]
  13. A. Egberts, “The oracle problem,” SSRN Electronic Journal, 2017. [Google Scholar]
  14. J. Adler et al., “Astraea: A decentralized blockchain oracle,” in Proc. IEEE iThings, 2018, pp. 1145-1152. [Google Scholar]
  15. W. Shi et al., “Edge computing: Vision and challenges,” IEEE IoT Journal, vol. 3, no. 5, pp. 637-646, 2016. [Google Scholar]
  16. M. Satyanarayanan, “The emergence of edge computing,” Computer, vol. 50, no. 1, pp. 30-39, 2017. [Google Scholar]
  17. E. Androulaki et al., “Hyperledger Fabric: A distributed operating system for permissioned blockchains,” in Proc. ACM EuroSys, 2018, pp. 1-15. [Google Scholar]
  18. C. Dwork, “Differential privacy,” in Proc. ICALP, 2006, pp. 1-12. [Google Scholar]
  19. C. Gentry, “Fully homomorphic encryption using ideal lattices,” in Proc. ACM STOC, 2009, pp. 169-178. [Google Scholar]
  20. A. Cavoukian, “Privacy by design: The 7 foundational principles,” IPC Ontario, 2009. [Google Scholar]
  21. G. McGraw, “Software security: Building security in,” Addison-Wesley, 2006. [Google Scholar]
  22. W3C, “Web Content Accessibility Guidelines (WCAG) 2.1,” 2018. [Google Scholar]
  23. J. Nielsen, “Usability engineering,” Morgan Kaufmann, 1993. [Google Scholar]
  24. A. Jain et al., “50 years of biometric research,” Pattern Recognition Letters, vol. 79, pp. 80-105, 2016. [Google Scholar]
  25. J. Brooke, “SUS: A quick and dirty usability scale,” in Usability Evaluation in Industry, 1996, pp. 189-194. [Google Scholar]
  26. A. Narayanan and V. Shmatikov, “Robust de anonymization of large sparse datasets,” in Proc. IEEE S&P, 2008, pp. 111-125. [Google Scholar]
  27. B. McMahan et al., “Communication-efficient learning of deep networks,” in Proc. AISTATS, 2017, pp. 1273-1282. [Google Scholar]
  28. E. Ben-Sasson et al., “Zerocash: Decentralized anonymous payments,” in Proc. IEEE S&P, 2014, pp. 459-474. [Google Scholar]
  29. A. Adadi and M. Berrada, “A survey on explainable AI,” IEEE Access, vol. 6, pp. 5213852160, 2018. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.