首页|Investigators from Chinese Academy of Sciences Release New Data on Machine Learn ing (Missing Data Imputation In Tunnel Monitoring With a Spatio-temporal Correla tion Fused Machine Learning Model)
Investigators from Chinese Academy of Sciences Release New Data on Machine Learn ing (Missing Data Imputation In Tunnel Monitoring With a Spatio-temporal Correla tion Fused Machine Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Wuhan, People’s Republ ic of China, by NewsRx journalists, research stated, “Imputingmissing values in structural health monitoring (SHM) data is essential for conducting data-driven analysesof tunnel structural stability. However, SHM data is dynamically chang ing with complex spatio-temporalcorrelations, making it particularly challengin g to impute, especially for continuous or peak missing data.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
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