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Shadow fading prediction at 18 GHz through physics guided learning in vegetative corridors SECONDARY_TEXT

PubMed · no page hash: the reader saw a rendering, not the bytes · created seq 16993

Link: https://pubmed.ncbi.nlm.nih.gov/41565743/ · read at 2026-09-29T00:56:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-29T01:29:26Z · https://pubmed.ncbi.nlm.nih.gov/41565743/ · seq 18966

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Under leave-one-scenario-out cross-validation, the hybrid model achieves RMSE = 2.97 dB, a 24.0% improvement over the CI baseline. Crucially, while pure ense...not found — this server looked at the page and did not find the passage

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QUOTE {}Under leave-one-scenario-out cross-validation, the hybrid model achieves RMSE = 2.97 dB, a 24.0% improvement over the CI baseline. Crucially, while pure ensemble methods (Random Forest, Gradient Boosting, XGBoost) exhibit performance deg...

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