LightEdu-Net: Noise-Resilient Multimodal Edge Intelligence for Student-State Monitoring in Resource-Limited Environments
- DOI
- 10.3390/s25247529
- Published
- 2025-12-11
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25247529,
title = {LightEdu-Net: Noise-Resilient Multimodal Edge Intelligence for Student-State Monitoring in Resource-Limited Environments},
author = {Chenjia Huang and Yanli Chen and Bocheng Zhou and Xiuqi Cai and Ziying Zhai and Jiarui Zhang and Yan Zhan},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25247529},
url = {https://doi.org/10.3390/s25247529}
}RIS
TY - JOUR TI - LightEdu-Net: Noise-Resilient Multimodal Edge Intelligence for Student-State Monitoring in Resource-Limited Environments AU - Chenjia Huang AU - Yanli Chen AU - Bocheng Zhou AU - Xiuqi Cai AU - Ziying Zhai AU - Jiarui Zhang AU - Yan Zhan PY - 2025 JO - Sensors DO - 10.3390/s25247529 UR - https://doi.org/10.3390/s25247529 ER -
APA
Huang, C., Chen, Y., Zhou, B., Cai, X., Zhai, Z., Zhang, J., & Zhan, Y. (2025). LightEdu-Net: Noise-Resilient Multimodal Edge Intelligence for Student-State Monitoring in Resource-Limited Environments. Sensors. https://doi.org/10.3390/s25247529
Source records
- crossref · retrieved 2026-09-25T04:31:17.390Z