EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 399 (2023) E3S Web Conf., 399 (2023) 04037 References
Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 04037
Number of page(s) 9
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202339904037
Published online 12 July 2023
  1. Smith, J. (2018). Human-Centered Design Principles for Interactive Systems. International Journal of Human-Computer Interaction, 42(3), 567–582. [Google Scholar]
  2. Johnson, A., & Davis, B. (2019). User Interface Design Patterns for Improved Usability. Journal of Human-Computer Interaction, 18(2), 245–260. [Google Scholar]
  3. Lee, S., & Kim, K. (2020). The Role of Feedback in User Experience Design. International Journal of Human-Computer Interaction, 55(1), 123–138. [Google Scholar]
  4. Brown, M., & Wilson, L. (2017). Cognitive Load and User Experience in Interactive Systems. Journal of Human-Computer Interaction, 32(4), 789–804. [Google Scholar]
  5. Thompson, R., & Clark, E. (2018). Emotion and User Experience: A Psychological Perspective. International Journal of Human-Computer Interaction, 47(2), 321–336. [Google Scholar]
  6. Garcia, L., & Chen, H. (2019). Mobile User Experience: Challenges and Opportunities. Journal of Human-Computer Interaction, 21(3), 567–582. [Google Scholar]
  7. Martinez, R., & Johnson, C. (2020). Gamification in User Experience Design. International Journal of Human-Computer Interaction, 32(1), 245–260. [Google Scholar]
  8. Liu, Y., & Wang, H. (2018). Multimodal Interaction in Interactive Systems. Journal of Human-Computer Interaction, 38(2), 123–138. [Google Scholar]
  9. Anderson, S., & Williams, D. (2019). Accessibility in User-Centered Design. International Journal of Human-Computer Interaction, 25(4), 789–804. [Google Scholar]
  10. Thompson, J., & Davis, M. (2020). Personalization and User Experience in Interactive Systems. Journal of Human-Computer Interaction, 52(3), 321–336. [Google Scholar]
  11. Brown, K., & Wilson, M. (2017). User Experience Evaluation Methods. International Journal of Human-Computer Interaction, 14(2), 567–582. [Google Scholar]
  12. Garcia, L., & Smith, R. (2018). Usability Testing in Interactive System Design. Journal of Human-Computer Interaction, 27(4), 245–260. [Google Scholar]
  13. Kim, S., & Johnson, A. (2019). Information Visualization for Improved User Experience. International Journal of Human-Computer Interaction, 36(1), 123–138. [Google Scholar]
  14. Thompson, R., & Martinez, L. (2020). Social Interaction and User Experience Design. Journal of Human-Computer Interaction, 42(2), 567–582. [Google Scholar]
  15. Wilson, M., & Clark, E. (2018). Aesthetic Design and User Experience. International Journal of Human-Computer Interaction, 18(3), 789–804. [Google Scholar]
  16. Dhanwanth, B., Saravanakumar, R., Tamilselvi, T., & Revathi, K. (2023). A smart remote monitoring system for prenatal care in rural areas. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 30–36. doi: 10.17762/ijritcc.v11i3.6196 [CrossRef] [Google Scholar]
  17. Aziz, A., & Zahra, A. (2023). Prototype design of landfill gas pipe leak monitoring system based on microcontroller node MCU ESP8266 with the internet of things method. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 133–147. Retrieved from www.scopus.com [Google Scholar]
  18. Auma, G., Levi, S., Santos, M., Ji-hoon, P., & Tanaka, A. Predicting Stock Market Trends using Long Short-Term Memory Networks. Kuwait Journal of Machine Learning, 1(3). Retrieved from http://kuwaitjoumals.com/index.php/kjml/article/view/136 [Google Scholar]
  19. Samad, A. . (2022). Internet of Things Integrated with Blockchain and Artificial Intelligence in Healthcare System. Research Journal of Computer Systems and Engineering, 3(1), 01–06. Retrieved from https://technicalj ournals.org/RJCSE/index.php/joumal/article/view/34 [Google Scholar]
  20. Thakre, B., Thakre, R., Timande, S., & Sarangpure, V. (2021). An Efficient Data Mining Based Automated Learning Model to Predict Heart Diseases. Machine Learning Applications in Engineering Education and Management, 1(2), 27–33. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/17 [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.