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Study Tunes Prior Widths for UAV-Based Radio Environment Mapping in IoT Networks

A new paper examines adaptive UAV sampling for building radio environment maps from non-Gaussian IoT observations, using integrated nested Laplace approximation (INLA), with prior width governing accuracy and calibration.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-11-02 05:00 · arXiv stat.ML
    INLA for Adaptive UAV Sampling of Radio Environment Maps in IoT Networks: Prior Width Governs Accuracy and Calibration

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