DOCKING uses ordinary kriging on sparse RSRP/SINR data to reconstruct REMs, approximates dominant attenuation as cuboids, and optimizes MIAB placement via genetic algorithm in smart-port settings.
3D spec- trum awareness for radio dynamic zones using Kriging and ma- trix completion,
2 Pith papers cite this work. Polarity classification is still indexing.
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An ensemble ML framework combining lidar simulation data, SMOTE, and real measurements reduces path loss prediction MAE by up to 50% versus real-data-only models and improves cross-environment generalization.
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Simulation-Driven Ensemble Machine Learning for Robust and Generalizable Path Loss Prediction
An ensemble ML framework combining lidar simulation data, SMOTE, and real measurements reduces path loss prediction MAE by up to 50% versus real-data-only models and improves cross-environment generalization.