Citation details
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Authors: Ekechi, C. C., Ejiofor, A. H., Saliu, A. S., Akadiri, O. O., Oluwafemi, A. A., & Kwakye, K. E.
Journal: Global Journal of Engineering and Technology Advances, 25(2), 166–184
Year: 2025
Publication detail
Cognitive Query Routing (CQR): Reinforcement Learning for Adaptive Query Processing in Hybrid Databases
Peer-reviewed paper (November 2025). Citation details, DOI, and BibTeX below.
Overview
What the paper covers.
A reinforcement learning approach that routes queries adaptively across engines in hybrid database architectures.
Reinforcement learningDatabasesQuery optimization
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Citation: Ekechi, C. C., Ejiofor, A. H., Saliu, A. S., Akadiri, O. O., Oluwafemi, A. A., & Kwakye, K. E. (2025). Cognitive Query Routing (CQR): Reinforcement Learning for Adaptive Query Processing in Hybrid Databases. Global Journal of Engineering and Technology Advances, 25(2), 166–184. https://doi.org/10.30574/gjeta.2025.25.2.0330
@article{ekechi2025cognitivequeryrout,
title={Cognitive Query Routing (CQR): Reinforcement Learning for Adaptive Query Processing in Hybrid Databases},
author={Ekechi, C. C. and Ejiofor, A. H. and Saliu, A. S. and Akadiri, O. O. and Oluwafemi, A. A. and Kwakye, K. E.},
journal={Global Journal of Engineering and Technology Advances},
volume={25},
number={2},
pages={166--184},
year={2025},
doi={10.30574/gjeta.2025.25.2.0330}
}Related