首页|Reports from K.N. Toosi University of Technology Add New Study Findings to Resea rch in Machine Learning (Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using ...)
Reports from K.N. Toosi University of Technology Add New Study Findings to Resea rch in Machine Learning (Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using ...)
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 discuss new findings in artificial intelligence. According to news reporting out of Tehran, Iran, by New sRx editors, research stated, “Continuous monitoring of water quality parameters (WQPs) is crucial due to the global degradation of water quality, primarily cau sed by climate change and population growth.”
K.N. Toosi University of TechnologyTeh ranIranAsiaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
NETL
NSTL
