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-search_query=cat:astro-ph.*+AND+lastUpdatedDate:[202407022000+TO+202407082000]&start=0&max_results=5000
-<h1>New astro-ph.* submissions cross listed on stat.*, cs.AI, physics.data-an, cs.LG staritng 202407022000 and ending 202407082000</h1>Feed last updated: 2024-07-08T00:00:00-04:00
+search_query=cat:astro-ph.*+AND+lastUpdatedDate:[202407032000+TO+202407092000]&start=0&max_results=5000
+<h1>New astro-ph.* submissions cross listed on stat.*, physics.data-an, cs.AI, cs.LG staritng 202407032000 and ending 202407092000</h1>Feed last updated: 2024-07-09T00:00:00-04:00<a href="http://arxiv.org/pdf/2407.05832v1"><h2>A Data-Driven Machine Learning Approach for Detecting Albedo Anomalies
+  on the Lunar Surface</h2></a>Authors:  Sofia Strukova, Sergei Gleyzer, Patrick Peplowski, Jason P. Terry</br>Comments: No comment found</br>Primary Category: astro-ph.EP</br>All Categories: astro-ph.EP, cs.LG</br><p>This study introduces a data-driven approach using machine learning (ML)
+techniques to explore and predict albedo anomalies on the Moon's surface. The
+research leverages diverse planetary datasets, including
+high-spatial-resolution albedo maps and element maps (LPFe, LPK, LPTh, LPTi)
+derived from laser and gamma-ray measurements. The primary objective is to
+identify relationships between chemical elements and albedo, thereby expanding
+our understanding of planetary surfaces and offering predictive capabilities
+for areas with incomplete datasets. To bridge the gap in resolution between the
+albedo and element maps, we employ Gaussian blurring techniques, including an
+innovative adaptive Gaussian blur. Our methodology culminates in the deployment
+of an Extreme Gradient Boosting Regression Model, optimized to predict full
+albedo based on elemental composition. Furthermore, we present an interactive
+analytical tool to visualize prediction errors, delineating their spatial and
+chemical characteristics. The findings not only pave the way for a more
+comprehensive understanding of the Moon's surface but also provide a framework
+for similar studies on other celestial bodies.</p></br>