首页|Findings from Birkbeck College Update Knowledge of Machine Learning (Yolo-et: a Machine Learning Model for Detecting, Localising and Classifying Anthropogenic C ontaminants and Extraterrestrial Microparticles Optimised for Mobile Processing ...)
Findings from Birkbeck College Update Knowledge of Machine Learning (Yolo-et: a Machine Learning Model for Detecting, Localising and Classifying Anthropogenic C ontaminants and Extraterrestrial Microparticles Optimised for Mobile Processing ...)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from London, United Kingdom, by News Rx journalists, research stated, “Imminent robotic and human activities on the M oon and other planetary bodies would benefit from advanced in situ Computer Visi on and Machine Learning capabilities to identify and quantify microparticle terr estrial contaminants, lunar regolith disturbances, the flux of interplanetary du st particles, possible interstellar dust, fl -meteoroids, and secondary impact e jecta. The YOLO-ET (ExtraTerrestrial) algorithm, an innovation in this field, fi ne-tunes Tiny-YOLO to specifically address these challenges.”
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningBirkbeck College