Predicting Vertical Radio Refractivity Gradients Across Temperate, Subarctic, and Polar Climates Using Ensemble Machine Learning
- DOI
- 10.21203/rs.3.rs-10880805/v1
- Published
- 2026-09-24
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10880805/v1,
title = {Predicting Vertical Radio Refractivity Gradients Across Temperate, Subarctic, and Polar Climates Using Ensemble Machine Learning},
author = {Solomon O. Adeola and Francis O. Aweda and Jacob A. Akinpelu and Saeed A. Bello and Nathaniel O. Adeniji},
year = {2026},
doi = {10.21203/rs.3.rs-10880805/v1},
url = {https://doi.org/10.21203/rs.3.rs-10880805/v1}
}RIS
TY - JOUR TI - Predicting Vertical Radio Refractivity Gradients Across Temperate, Subarctic, and Polar Climates Using Ensemble Machine Learning AU - Solomon O. Adeola AU - Francis O. Aweda AU - Jacob A. Akinpelu AU - Saeed A. Bello AU - Nathaniel O. Adeniji PY - 2026 DO - 10.21203/rs.3.rs-10880805/v1 UR - https://doi.org/10.21203/rs.3.rs-10880805/v1 ER -
APA
Adeola, S. O., Aweda, F. O., Akinpelu, J. A., Bello, S. A., & Adeniji, N. O. (2026). Predicting Vertical Radio Refractivity Gradients Across Temperate, Subarctic, and Polar Climates Using Ensemble Machine Learning. https://doi.org/10.21203/rs.3.rs-10880805/v1
Source records
- crossref · retrieved 2026-11-10T18:53:49.587Z