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]

Robotics & Machine Learning Daily News2024，Issue(MAY.23) ：4-5.

来源：

NETL
NSTL

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]

扫码查看

Abstract

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.

Key words

Cyprus University of Technology/Limasso l/Cyprus/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航