Open Access
Issue
ITM Web Conf.
Volume 85, 2026
Intelligent Systems for a Sustainable Future (ISSF 2026)
Article Number 03004
Number of page(s) 6
Section Data Science, IoT, Optimization & Predictive Analytics
DOI https://doi.org/10.1051/itmconf/20268503004
Published online 09 April 2026
  1. M. Shili, O. Sohaib, and S. Hammedi, "You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization," Algorithms, vol. 17, no. 11, p. 525, 2024. [Online]. Available: https://doi.org/10.3390/a17110525 [Google Scholar]
  2. F. M. Almasoudi, "Enhancing power grid resilience through real-time fault detection and remediation using advanced hybrid machine learning models," Sustainability, vol. 15, no. 10, p. 8348, 2023. [Online]. Available: https://doi.org/10.3390/su15108348 [CrossRef] [Google Scholar]
  3. Z. Shahbazi, R. Jalali, and Z. Shahbazi, "Enhancing Recommendation Systems with Real-Time Adaptive Learning and Multi-Domain Knowledge Graphs," Big Data and Cognitive Computing, vol. 9, no. 5, p. 124, 2025. [Online]. Available: https://doi.org/10.3390/bdcc9050124 [Google Scholar]
  4. I. B. Abdallah, Y. Bouteraa, and A. Alotaibi, "A hybrid EMG-EEG interface for robust intention detection and fatigue-adaptive control of an elbow rehabilitation robot," Scientific Reports, vol. 15, no. 1, p. 40895, 2025. [Online]. Available: https://doi.org/10.1038/s41598-025-24831-w [Google Scholar]
  5. S. Luo, "Sensing User Intent: An LLM-Powered Agent for On-the-Fly Personalized Virtual Space Construction from UAV Sensor Data," Sensors (Basel, Switzerland), vol. 25, no. 24, p. 7610, 2025. [Online]. Available: doi: 10.3390/s25247610 [Google Scholar]
  6. J. Gillespie, T. P. da Costa, X. Cama-Moncunill, T. Cadden, J. Condell, T. Cowderoy, … R. Ramanathan, "Real-time anomaly detection in cold chain transportation using IoT technology," Sustainability, vol. 15, no. 3, p. 2255, 2023. [Online]. Available: https://doi.org/10.3390/su15032255 [Google Scholar]
  7. C. F. Brown, S. P. Brumby, B. Guzder-Williams, T. Birch, S. B. Hyde, J. Mazzariello, … A. M. Tait, "Dynamic World, Near real-time global 10 m land use land cover mapping," Scientific Data, vol. 9, no. 1, p. 251, 2022. [Online]. Available: https://doi.org/10.1038/s41597-022-01307-4 [Google Scholar]
  8. M. Paniagua-Gómez and M. Fernandez-Carmona, "Trends and Challenges in Real-Time Stress Detection and Modulation: The Role of the IoT and Artificial Intelligence," Electronics, vol. 14, no. 13, p. 2581, 2025. [Online]. Available: https://doi.org/10.3390/electronics14132581 [Google Scholar]
  9. P. Orosz, B. Nagy, and P. Varga, "Real-Time Detection and Mitigation Strategies Newly Appearing for DDoS Profiles," Future Internet, vol. 17, no. 9, p. 400, 2025. [Online]. Available: https://doi.org/10.3390/fi17090400 [Google Scholar]
  10. S. Higa, K. Yamada, and S. Kamisato, "Intelligent eye-controlled electric wheelchair based on estimating visual intentions using one-dimensional convolutional neural network and long short-term memory," Sensors, vol. 23, no. 8, p. 4028, 2023. [Online]. Available: https://doi.org/10.3390/s23084028 [Google Scholar]
  11. M. A. Alam, A. R. Nabil, A. A. Mintoo, and A. Islam, "Real-time analytics in streaming big data: techniques and applications," Journal of Science and Engineering Research, vol. 1, no. 1, pp. 104–122, 2024. [Online]. Available: DoI:10.70008/jeser.v1i01.56 [Google Scholar]
  12. A. Kamali Mohammadzadeh, E. Alinezhad, and S. Masoud, "Neural-Network-Driven Intention Recognition for Enhanced Human-Robot Interaction: A Virtual-Reality-Driven Approach," Machines, vol. 13, no. 5, p. 414, 2025. [Online]. Available: https://doi.org/10.3390/machines13050414 [Google Scholar]
  13. C. Gehweiler and O. Lobachev, "Classification of intent in moderating online discussions: An empirical evaluation," Decision Analytics Journal, vol. 10, p. 100418, 2024. [Online]. Available: https://doi.org/10.1016/j.dajour.2024.100418 [Google Scholar]
  14. M. Kekana, S. Du, N. Steyn, A. Benali, and H. Djerroud, "A Review of Human Intention Recognition Frameworks in Industrial Collaborative Robotics," Robotics, vol. 14, no. 12, p. 174, 2025. [Online]. Available: https://doi.org/10.3390/robotics14120174 [Google Scholar]
  15. M. T. Hossain, J. Lee, D. Besenski, B. Dimitrijevic, and L. Spasovic, "Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data," Information, vol. 16, no. 6, p. 423, 2025. [Online]. Available: https://doi.org/10.3390/info16060423 [Google Scholar]

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