首页|New Findings in Machine Learning Described from Sam Houston State University (Br oadscale Deep Learning Model for Archaeological Feature Detection Across the May a Area)
New Findings in Machine Learning Described from Sam Houston State University (Br oadscale Deep Learning Model for Archaeological Feature Detection Across the May a Area)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromHuntsville, Texas, by NewsRx journal ists, research stated, “Many Maya archaeological areas are notcomprehensively o r systematically mapped because ruins, often hidden under tropical forest canopy inrugged terrain, can take decades to locate, identify, and map. Recent years have seen an explosion of lidardata collection, and machine learning provides a way to exploit these lidar data, making feature analysesmore efficient and con sistently executed.”
HuntsvilleTexasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningSam Houst on State University
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