The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review

Chinemerem M. Anozie, Tite Tuyikeze, Ibidun C. Obagbuwa, Fezile Matsebula

Open source

DOI: 10.3389/fdata.2026.1761377
Published: 2026-04-24
Container: Frontiers in Big Data
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1761377,
  title = {The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review},
  author = {Chinemerem M. Anozie and Tite Tuyikeze and Ibidun C. Obagbuwa and Fezile Matsebula},
  year = {2026},
  journal = {Frontiers in Big Data},
  doi = {10.3389/fdata.2026.1761377},
  url = {https://doi.org/10.3389/fdata.2026.1761377}
}

RIS

TY  - JOUR
TI  - The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review
AU  - Chinemerem M. Anozie
AU  - Tite Tuyikeze
AU  - Ibidun C. Obagbuwa
AU  - Fezile Matsebula
PY  - 2026
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2026.1761377
UR  - https://doi.org/10.3389/fdata.2026.1761377
ER  -

APA

Anozie, C. M., Tuyikeze, T., Obagbuwa, I. C., & Matsebula, F. (2026). The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review. Frontiers in Big Data. https://doi.org/10.3389/fdata.2026.1761377

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crossref · retrieved 2026-09-25T15:34:08.436Z