首页|Researchers at Saigon University Publish New Data on Machine Learning [Statistical and machine learning approaches for estimating pollution of fine par ticulate matter (PM2.5) in Vietnam]
Researchers at Saigon University Publish New Data on Machine Learning [Statistical and machine learning approaches for estimating pollution of fine par ticulate matter (PM2.5) in Vietnam]
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 DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting fromHo Chi Minh, Vietnam, by New sRx journalists, research stated, “This study aims to predict fine particulatem atter (PM2.5) pollution in Ho Chi Minh City, Vietnam, using autoregressive integ rated moving average (ARIMA), linear regression (LR), random forest (RF), long s hort-term memory (LSTM), bidirectionalLSTM (Bi-LSTM), and convolutional neural network (CNN) combining Bi-LSTM (CNN+Bi-LSTM).”
Saigon UniversityHo Chi MinhAsiaCy borgsEmerging TechnologiesMachine LearningVietnam
NETL
NSTL
