首页|Recent Findings from Cyprus University of Technology Highlight Research in Machi ne Learning [A Machine-Learning-Assisted Classification Algor ithm for the Detection of Archaeological Proxies (Cropmarks) Based on Reflectanc e Signatures]
Recent Findings from Cyprus University of Technology Highlight Research in Machi ne Learning [A Machine-Learning-Assisted Classification Algor ithm for the Detection of Archaeological Proxies (Cropmarks) Based on Reflectanc e Signatures]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news originating from Limassol, Cyprus, by NewsRx correspon dents, research stated, “The detection of subsurface archaeological remains usin g a range of remote sensing methods poses several challenges. Recent studies reg arding the detection of archaeological proxies like those of cropmarks highlight the complexity of the phenomenon.” Funders for this research include European Union’s Horizon Europe Framework Prog ramme; Ukri Under Project.
Cyprus University of TechnologyLimasso lCyprusEuropeAlgorithmsCyborgsEmerging TechnologiesMachine LearningRemote Sensing
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