首页|Studies from Chinese Academy of Sciences Have Provided New Information about Mac hine Learning (Hyper-local Black Carbon Prediction By Integrating Land Use Varia bles With Explainable Machine Learning Model)
Studies from Chinese Academy of Sciences Have Provided New Information about Mac hine Learning (Hyper-local Black Carbon Prediction By Integrating Land Use Varia bles With Explainable Machine Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Beijing, People’s R epublic of China, by NewsRx journalists, research stated, “This research introdu ces an innovative framework that effectively integrates the Land Use Regression (LUR) model with an explainable machine learning methodology, thereby enhancing the causal understanding of how land use variables impact Black Carbon (BC) conc entrations in complex urban landscapes. Through the development and application of a LUR-based Bayesian Network (BN) model to detailed, mobile-based BC measurem ents, we have successfully decoded the causal relationships and conditional prob abilities linking diverse urban land use variables to BC levels.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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