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    Research Study Findings from Lamar University Update Understanding of Machine Le arning (Recent Progress on Surface Water Quality Models Utilizing Machine Learni ng Techniques)

    86-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Beaumont, Te xas, by NewsRx correspondents, research stated, “Surface waterbodies areheavily exposed to pollutants caused by natural disasters and human activities.”

    Research Study Findings from Lamar University Update Understanding of Machine Le arning (Recent Progress on Surface Water Quality Models Utilizing Machine Learni ng Techniques)

    86-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Beaumont, Te xas, by NewsRx correspondents, research stated, “Surface waterbodies areheavily exposed to pollutants caused by natural disasters and human activities.”

    German Cancer Research Center (DKFZ) Reports Findings in Artificial Intelligence (Radiomics and Artificial Intelligence Landscape for [18F] FDG PET/CT in Multiple Myeloma)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating from Heide lberg, Germany, by NewsRx correspondents, research stated, “[F]FDG PET/CT is a powerful imaging modality of high performan ce in multiple myeloma (MM) and isconsidered the appropriate method for assessi ng treatment response in this disease. On the other hand,due to the heterogeneo us and sometimes complex patterns of bone marrow infiltration in MM, the interpretation of PET/CT can be particularly challenging, hampering interobserver repro ducibility and limitingthe diagnostic and prognostic ability of the modality.”

    German Cancer Research Center (DKFZ) Reports Findings in Artificial Intelligence (Radiomics and Artificial Intelligence Landscape for [18F] FDG PET/CT in Multiple Myeloma)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating from Heide lberg, Germany, by NewsRx correspondents, research stated, “[F]FDG PET/CT is a powerful imaging modality of high performan ce in multiple myeloma (MM) and isconsidered the appropriate method for assessi ng treatment response in this disease. On the other hand,due to the heterogeneo us and sometimes complex patterns of bone marrow infiltration in MM, the interpretation of PET/CT can be particularly challenging, hampering interobserver repro ducibility and limitingthe diagnostic and prognostic ability of the modality.”

    Karlsruhe Institute of Technology (KIT) Reports Findings in Machine Learning (Fr om data to insights: Upscaling riverine GHG fluxes in Germany with machine learn ing)

    88-88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 newsreporting out of Garmisch Partenkirchen , Germany, by NewsRx editors, research stated, “Global fluvialecosystems are im portant sources of greenhouse gases (CO, CH and NO) to the atmosphere, but theirestimates are plagued by uncertainties due to unaccounted spatio-temporal varia bilities in the fluxes. Inthis study, we tested the potential of modeling these variabilities using several machine learning models(ML) and three different in put datasets (remotely sensed vegetation indices, in-situ water quality, and ac ombination of both) from 20 headwater catchments in Germany that differ in catch ment land use andstream size.”

    Karlsruhe Institute of Technology (KIT) Reports Findings in Machine Learning (Fr om data to insights: Upscaling riverine GHG fluxes in Germany with machine learn ing)

    88-88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 newsreporting out of Garmisch Partenkirchen , Germany, by NewsRx editors, research stated, “Global fluvialecosystems are im portant sources of greenhouse gases (CO, CH and NO) to the atmosphere, but theirestimates are plagued by uncertainties due to unaccounted spatio-temporal varia bilities in the fluxes. Inthis study, we tested the potential of modeling these variabilities using several machine learning models(ML) and three different in put datasets (remotely sensed vegetation indices, in-situ water quality, and ac ombination of both) from 20 headwater catchments in Germany that differ in catch ment land use andstream size.”

    Study Findings from Georgia Institute of Technology Provide New Insights into Ro botics (Investigating strategies enabling novice users to teach plannable hierar chical tasks to robots)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingout of Atlanta, Georgia, by NewsRx e ditors, research stated, “Learning from demonstration (LfD) seeks todemocratize robotics by enabling non-experts to intuitively program robots to perform novel skills throughhuman task demonstration.”

    Study Findings from Georgia Institute of Technology Provide New Insights into Ro botics (Investigating strategies enabling novice users to teach plannable hierar chical tasks to robots)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingout of Atlanta, Georgia, by NewsRx e ditors, research stated, “Learning from demonstration (LfD) seeks todemocratize robotics by enabling non-experts to intuitively program robots to perform novel skills throughhuman task demonstration.”

    Recent Findings from Murshidabad Medical College and Hospital Highlight Research in Artificial Intelligence (An Update on Artificial Intelligence and Its Applic ation in Orthopedics: A Narrative Review)

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingout of West Bengal, India, b y NewsRx editors, research stated, “Prerequisites of artificial intelligence (AI) are a huge unbiased data set, linking them with different “clouds,” a powerful computer with highprocessing ability, and application of statistical methods t o produce a complex algorithm. The concept“can machine think” developed in the early 1940s with the turning rule.”

    Recent Findings from Murshidabad Medical College and Hospital Highlight Research in Artificial Intelligence (An Update on Artificial Intelligence and Its Applic ation in Orthopedics: A Narrative Review)

    90-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingout of West Bengal, India, b y NewsRx editors, research stated, “Prerequisites of artificial intelligence (AI) are a huge unbiased data set, linking them with different “clouds,” a powerful computer with highprocessing ability, and application of statistical methods t o produce a complex algorithm. The concept“can machine think” developed in the early 1940s with the turning rule.”