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    Data from University of Jordan Advance Knowledge in Machine Learning (Creating o ptimized machine learning pipelines for PV power generation forecasting using th e grid search and tree-based pipeline optimization tool)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from the University of Jordan by NewsRx correspondents, research stated, “AbstractDemandfor electric power, especially amidst limited fossil fuel-based generation capacity, has elev ated renewableenergy sources to a forefront solution for the growing energy nee ds.”

    Data from University of Jordan Advance Knowledge in Machine Learning (Creating o ptimized machine learning pipelines for PV power generation forecasting using th e grid search and tree-based pipeline optimization tool)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from the University of Jordan by NewsRx correspondents, research stated, “AbstractDemandfor electric power, especially amidst limited fossil fuel-based generation capacity, has elev ated renewableenergy sources to a forefront solution for the growing energy nee ds.”

    New Artificial Intelligence Findings from Hunan University Described (Prediction Methods for Phonon Transport Properties of Inorganic Crystals: From Traditional Approaches To Artificial Intelligence)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting originating in Changs ha, People’s Republic of China, by NewsRx journalists, research stated,“In inor ganic crystals, phonons are the elementary excitations describing the collective atomic motions.The study of phonons plays an important role in terms of unders tanding thermal transport behavior andacoustic properties, as well as exploring the interactions between phonons and other energy carriers inmaterials.”

    New Artificial Intelligence Findings from Hunan University Described (Prediction Methods for Phonon Transport Properties of Inorganic Crystals: From Traditional Approaches To Artificial Intelligence)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to newsreporting originating in Changs ha, People’s Republic of China, by NewsRx journalists, research stated,“In inor ganic crystals, phonons are the elementary excitations describing the collective atomic motions.The study of phonons plays an important role in terms of unders tanding thermal transport behavior andacoustic properties, as well as exploring the interactions between phonons and other energy carriers inmaterials.”

    Reports from University of Sanya Add New Data to Research in Machine Translation (Application of translation technology based on AI in translation teaching)

    99-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on machine translation have bee n published. According to news reporting originatingfrom Sanya, People’s Republ ic of China, by NewsRx correspondents, research stated, “Nowadays,translation t echnology based on artificial intelligence (AI) has gradually matured. Tradition al translationteaching methods have many limitations, such as time and space li mitations, increased labor costs, etc.”

    Simula Research Laboratory Reports Findings in Machine Learning (AABBA Graph Ker nel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning)

    99-100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 from Oslo, Norway, by NewsRx journalists, research stated, “Graphs are one of the most naturaland powerful r epresentations available for molecules; natural because they have an intuitive c orrespondenceto skeletal formulas, the language used by chemists worldwide, and powerful, because they are highlyexpressive both globally (molecular topology) and locally (atom and bond properties). Graph kernels are used to transform mol ecular graphs into fixed-length vectors, which, based on their capacity of measu ringsimilarity, can be used as fingerprints for machine learning (ML).”

    Reports from University of Sanya Add New Data to Research in Machine Translation (Application of translation technology based on AI in translation teaching)

    99-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on machine translation have bee n published. According to news reporting originatingfrom Sanya, People’s Republ ic of China, by NewsRx correspondents, research stated, “Nowadays,translation t echnology based on artificial intelligence (AI) has gradually matured. Tradition al translationteaching methods have many limitations, such as time and space li mitations, increased labor costs, etc.”

    Simula Research Laboratory Reports Findings in Machine Learning (AABBA Graph Ker nel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning)

    99-100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 from Oslo, Norway, by NewsRx journalists, research stated, “Graphs are one of the most naturaland powerful r epresentations available for molecules; natural because they have an intuitive c orrespondenceto skeletal formulas, the language used by chemists worldwide, and powerful, because they are highlyexpressive both globally (molecular topology) and locally (atom and bond properties). Graph kernels are used to transform mol ecular graphs into fixed-length vectors, which, based on their capacity of measu ringsimilarity, can be used as fingerprints for machine learning (ML).”

    Findings from Ministry of Education in the Area of Machine Learning Reported (Co mparative Study of Sampling Strategies for Machine Learning-based Landslide Susc eptibility Assessment)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Changsha, P eople’s Republic of China, by NewsRx correspondents, researchstated, “To explor e the influence of different sampling strategies on landslide susceptibility ass essment,this study takes landslides in Taojiang County, Hunan Province, China, as the research object. Based onthree positive sample sampling methods (discret e point sampling, buffer integral sampling, and bufferdiscrete sampling) and th ree sampling resolutions (30 m, 60 m, and 90 m cell size), nine sampling strategies were combined.”

    Findings from Ministry of Education in the Area of Machine Learning Reported (Co mparative Study of Sampling Strategies for Machine Learning-based Landslide Susc eptibility Assessment)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Changsha, P eople’s Republic of China, by NewsRx correspondents, researchstated, “To explor e the influence of different sampling strategies on landslide susceptibility ass essment,this study takes landslides in Taojiang County, Hunan Province, China, as the research object. Based onthree positive sample sampling methods (discret e point sampling, buffer integral sampling, and bufferdiscrete sampling) and th ree sampling resolutions (30 m, 60 m, and 90 m cell size), nine sampling strategies were combined.”