Robotics & Machine Learning Daily News2024,Issue(Sep.3) :53-54.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :53-54.

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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Abstract

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.”

Key words

Huntsville/Texas/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Sam Houst on State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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