Explaining Seasonal 5G Path Loss in a Vineyard: From Empirical Models to Interpretable Machine Learning
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Dataset accompanying: Explaining Seasonal 5G Path Loss in a Vineyard: From Empirical Models to Interpretable Machine Learning — Schneider, D.; Jehangiri, A.I.; Müller, D.; Frey, H.; Wimmer, M.A., Future Internet, 2026. Licensed under CC BY 4.0. This research was conducted within the NoLa project, which was funded within the framework of the InnoNT program of the German Federal Ministry for Digital and State Modernization (BMDS), grant 19OI23015A.
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Zenodo创建时间：
2026-04-27
