Publication detail

Resilient Dataflow Intelligence (RDI): A Proactive AI Framework for Anomaly Anticipation in Cloud Databases

Peer-reviewed paper (September 2025). Citation details, DOI, and BibTeX below.

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

DOI: 10.30574/gjeta.2025.24.3.0282

Overview

What the paper covers.

A proactive AI framework for anticipating anomalies in cloud database environments.

Cloud databasesAnomaly anticipationData reliability

Citation and BibTeX

Cite this paper.

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}
}