Explainable Machine Learning Model for Path Loss Prediction in 5G Networks
- DOI
- 10.21203/rs.3.rs-8502290/v1
- Published
- 2026-02-02
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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-8502290/v1,
title = {Explainable Machine Learning Model for Path Loss Prediction in 5G Networks},
author = {Samuel A. Robinson and Moses E. Ekpenyong and Abdul Ghafar Jaafar and Daniel E. Asuquo and Ubong J. Ntia and Anthony A. Imianvan},
year = {2026},
doi = {10.21203/rs.3.rs-8502290/v1},
url = {https://doi.org/10.21203/rs.3.rs-8502290/v1}
}RIS
TY - JOUR TI - Explainable Machine Learning Model for Path Loss Prediction in 5G Networks AU - Samuel A. Robinson AU - Moses E. Ekpenyong AU - Abdul Ghafar Jaafar AU - Daniel E. Asuquo AU - Ubong J. Ntia AU - Anthony A. Imianvan PY - 2026 DO - 10.21203/rs.3.rs-8502290/v1 UR - https://doi.org/10.21203/rs.3.rs-8502290/v1 ER -
APA
Robinson, S. A., Ekpenyong, M. E., Jaafar, A. G., Asuquo, D. E., Ntia, U. J., & Imianvan, A. A. (2026). Explainable Machine Learning Model for Path Loss Prediction in 5G Networks. https://doi.org/10.21203/rs.3.rs-8502290/v1
Source records
- crossref · retrieved 2026-11-10T13:33:45.888Z