BioTwinSense – A Bio Cognitive Digital Twin for Predictive Maintenance

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{188203,
        author = {Harshad U and Saravanabalaji M and Priyadharsini R and Gokul B},
        title = {BioTwinSense – A Bio Cognitive Digital Twin for Predictive Maintenance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {7943-7948},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188203},
        abstract = {},
        keywords = {Digital Twin, Predictive Maintenance, Industry 5.0, Human Fatigue, Heart Rate Variability, Edge AI, MSMEs, Machine Learning.},
        month = {December},
        }

Cite This Article

U, H., & M, S., & R, P., & B, G. (2025). BioTwinSense – A Bio Cognitive Digital Twin for Predictive Maintenance. International Journal of Innovative Research in Technology (IJIRT), 12(7), 7943–7948.

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