A Framework for Unsupervised Profiling of Malaria Vectors' Insecticide Resistance Using Machine Learning Technique.

Kuderha A, Adingo W, Chikere B, Kulimushi M, Jules K.

DOI: 10.1089/vbz.2023.0112
Published: 2024-04-03
Container: Vector Borne Zoonotic Dis
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1089/vbz.2023.0112,
  title = {A Framework for Unsupervised Profiling of Malaria Vectors' Insecticide Resistance Using Machine Learning Technique.},
  author = {Kuderha A and  Adingo W and  Chikere B and  Kulimushi M and  Jules K.},
  year = {2024},
  journal = {Vector Borne Zoonotic Dis},
  doi = {10.1089/vbz.2023.0112},
  url = {https://doi.org/10.1089/vbz.2023.0112}
}

RIS

TY  - JOUR
TI  - A Framework for Unsupervised Profiling of Malaria Vectors' Insecticide Resistance Using Machine Learning Technique.
AU  - Kuderha A
AU  -  Adingo W
AU  -  Chikere B
AU  -  Kulimushi M
AU  -  Jules K.
PY  - 2024
JO  - Vector Borne Zoonotic Dis
DO  - 10.1089/vbz.2023.0112
UR  - https://doi.org/10.1089/vbz.2023.0112
ER  -

APA

A, K., W, A., B, C., M, K., & K., J. (2024). A Framework for Unsupervised Profiling of Malaria Vectors' Insecticide Resistance Using Machine Learning Technique.. Vector Borne Zoonotic Dis. https://doi.org/10.1089/vbz.2023.0112

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europe-pmc · retrieved 2026-09-27T03:55:32.326Z