Citation details
Publication record.
Authors: Igbape, O. R., Akadiri, O. O., Ekechi, C. C., Okiemute, R. O., Babatunde, O., & Idowu, M. E.
Journal: Global Journal of Engineering and Technology Advances, 24(3), 314–327
Year: 2025
Publication detail
Peer-reviewed paper (September 2025). Citation details, DOI, and BibTeX below.
Citation details
Authors: Igbape, O. R., Akadiri, O. O., Ekechi, C. C., Okiemute, R. O., Babatunde, O., & Idowu, M. E.
Journal: Global Journal of Engineering and Technology Advances, 24(3), 314–327
Year: 2025
Overview
A proactive AI framework for anticipating anomalies in cloud database environments.
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APA citation and BibTeX, ready to copy. Citation counts are on Google Scholar.
Citation: Igbape, O. R., Akadiri, O. O., Ekechi, C. C., Okiemute, R. O., Babatunde, O., & Idowu, M. E. (2025). Resilient Dataflow Intelligence (RDI): A Proactive AI Framework for Anomaly Anticipation in Cloud Databases. Global Journal of Engineering and Technology Advances, 24(3), 314–327. https://doi.org/10.30574/gjeta.2025.24.3.0282
@article{igbape2025resilientdataflowi,
title={Resilient Dataflow Intelligence (RDI): A Proactive AI Framework for Anomaly Anticipation in Cloud Databases},
author={Igbape, O. R. and Akadiri, O. O. and Ekechi, C. C. and Okiemute, R. O. and Babatunde, O. and Idowu, M. E.},
journal={Global Journal of Engineering and Technology Advances},
volume={24},
number={3},
pages={314--327},
year={2025},
doi={10.30574/gjeta.2025.24.3.0282}
}Related