首页|Studies from University of Tehran Add New Findings in the Area of Machine Learni ng (Multiphase Reconstruction of Heterogamous Materials Using Machine Learning a nd Quality of Connection Function)
Studies from University of Tehran Add New Findings in the Area of Machine Learni ng (Multiphase Reconstruction of Heterogamous Materials Using Machine Learning a nd Quality of Connection Function)
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 ar tificial intelligence. According to news reporting from Tehran, Iran, by NewsRx journalists, research stated, “Establishing accurate structure-property linkages and precise phase volume accuracy in 3D microstructure reconstruction of materi als remains challenging, particularly with limited samples.”
University of TehranTehranIranAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
