An Intelligent IoT Framework for Early Identification of stress Among University Students using Machine Learning
- DOI
- 10.5281/zenodo.23971770
- Published
- 2026
- Container
- Not recorded
- Publisher
- IJERT.ORG
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.23971770,
title = {An Intelligent IoT Framework for Early Identification of stress Among University Students using Machine Learning},
author = {Ms. Ruby Faizan and Mr. Arpit Saraswat and Ms. Rushil Chauhan},
year = {2026},
doi = {10.5281/zenodo.23971770},
url = {https://doi.org/10.5281/zenodo.23971770}
}RIS
TY - JOUR TI - An Intelligent IoT Framework for Early Identification of stress Among University Students using Machine Learning AU - Ms. Ruby Faizan AU - Mr. Arpit Saraswat AU - Ms. Rushil Chauhan PY - 2026 DO - 10.5281/zenodo.23971770 UR - https://doi.org/10.5281/zenodo.23971770 ER -
APA
Faizan, M. R., Saraswat, M. A., & Chauhan, M. R. (2026). An Intelligent IoT Framework for Early Identification of stress Among University Students using Machine Learning. https://doi.org/10.5281/zenodo.23971770
Source records
- datacite · retrieved 2026-11-07T02:13:36.420Z