首页|University of Transport Technology Reports Findings in Machine Learning (Evaluat ion and estimation of compressive strength of concrete masonry prism using gradi ent boosting algorithm)
University of Transport Technology Reports Findings in Machine Learning (Evaluat ion and estimation of compressive strength of concrete masonry prism using gradi ent boosting algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating from Hanoi, Vietnam, by News Rx correspondents, research stated, “The compressive strength (CS) of the hollow concrete masonry prism is known as an important parameter for designing masonry structures. In general, the CS is determined using laboratory tests, however, l aboratory tests are timeconsuming and high-cost.”
NETL
NSTL
Public Library Science
