AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Improving Sentinel-5P Imagery Usability Through Machine Learning Gap-Filling
This study investigates missing data patterns and develops a robust gap-filling framework for the Po Valley (Northern Italy) over 2019–2023, a region characterized by complex basin topography and frequent winter inversions that exacerbate both pollution accumulation and data loss.
From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
The results support frozen geospatial embeddings as a low-compute candidate for regional cropland mapping, subject to the limits of a single-state study, a 30 m-derived training reference, and a one-block human validation.