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    New Findings in Machine Learning Described from Interactive Technologies Institu te (Deep Learning Enhanced Wind Speed and Direction Forecasting for Airport Regi ons)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Funchal, P ortugal, by NewsRx correspondents, research stated, “This work introduces adeep -learning architecture tailored for accurate wind speed and direction forecastin g for airports using agrid-based input.”

    New Findings in Machine Learning Described from Interactive Technologies Institu te (Deep Learning Enhanced Wind Speed and Direction Forecasting for Airport Regi ons)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Funchal, P ortugal, by NewsRx correspondents, research stated, “This work introduces adeep -learning architecture tailored for accurate wind speed and direction forecastin g for airports using agrid-based input.”

    Data on Machine Learning Reported by Researchers at West Anhui University (Depos it Type Discrimination of Jiaodong Gold Deposits Using Random Forest Algorithm: Constraints From Trace Elements of Pyrite)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting out of Lu’an,People’s Republic of China, by NewsRx editors, research stated, “A significant amount of gold is producedin Ji aodong Peninsula, North China. The Jiaojia-type (fracturedisseminated rock type) and Linglong-type(sulfide-bearing quartz vein type) are the most two important types of gold deposits related to hydrothermalfluids in this region.”

    Data on Machine Learning Reported by Researchers at West Anhui University (Depos it Type Discrimination of Jiaodong Gold Deposits Using Random Forest Algorithm: Constraints From Trace Elements of Pyrite)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting out of Lu’an,People’s Republic of China, by NewsRx editors, research stated, “A significant amount of gold is producedin Ji aodong Peninsula, North China. The Jiaojia-type (fracturedisseminated rock type) and Linglong-type(sulfide-bearing quartz vein type) are the most two important types of gold deposits related to hydrothermalfluids in this region.”

    Chinese Academy of Sciences Reports Findings in Machine Learning (Dominant Edaph ic Controls on Particulate Organic Carbon in Global Soils)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Jilin, People’s Republ ic of China, by NewsRx correspondents, research stated, “Thecurrent soil carbon paradigm puts particulate organic carbon (POC) as one of the major components o fsoil organic carbon worldwide, highlighting its pivotal role in carbon mitigat ion. In this study, we compileda global dataset of 3418 data points of POC conc entration in soils and applied empirical modeling andmachine learning algorithm s to investigate the spatial variation in POC concentration and its controls.”

    Chinese Academy of Sciences Reports Findings in Machine Learning (Dominant Edaph ic Controls on Particulate Organic Carbon in Global Soils)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Jilin, People’s Republ ic of China, by NewsRx correspondents, research stated, “Thecurrent soil carbon paradigm puts particulate organic carbon (POC) as one of the major components o fsoil organic carbon worldwide, highlighting its pivotal role in carbon mitigat ion. In this study, we compileda global dataset of 3418 data points of POC conc entration in soils and applied empirical modeling andmachine learning algorithm s to investigate the spatial variation in POC concentration and its controls.”

    Research from Jilin University in the Area of Machine Learning Published (Shallo w Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentin el-2 Data)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to news reportingout of Changchun, People ’s Republic of China, by NewsRx editors, research stated, “Shallow waterbathyme try is essential for maritime navigation, environmental monitoring, and coastal management.”

    Research from Jilin University in the Area of Machine Learning Published (Shallo w Water Bathymetry Inversion Based on Machine Learning Using ICESat-2 and Sentin el-2 Data)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to news reportingout of Changchun, People ’s Republic of China, by NewsRx editors, research stated, “Shallow waterbathyme try is essential for maritime navigation, environmental monitoring, and coastal management.”

    Data from Southwest Jiaotong University Update Knowledge in Machine Learning (Ad aptive Dynamic Thresholding Method for Fault Detection in Diesel Engine Lubricat ion Systems)

    72-72页
    查看更多>>摘要: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 reportingfrom Chengdu, People’s Republic o f China, by NewsRx journalists, research stated, “Fault detection inmarine dies el engine lubrication systems is crucial for ensuring the long-term stable opera tion of dieselengines and the safety of maritime navigation.”

    Data from Southwest Jiaotong University Update Knowledge in Machine Learning (Ad aptive Dynamic Thresholding Method for Fault Detection in Diesel Engine Lubricat ion Systems)

    72-72页
    查看更多>>摘要: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 reportingfrom Chengdu, People’s Republic o f China, by NewsRx journalists, research stated, “Fault detection inmarine dies el engine lubrication systems is crucial for ensuring the long-term stable opera tion of dieselengines and the safety of maritime navigation.”