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    Study Findings on Machine Learning Published by a Researcher at Monterrey Instit ute of Technology and Higher Education (A Simple Credit Rating Prediction Model for FinTech Companies Using SMOTE and MRMR Techniques)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news originatingfrom the Monterrey Institut e of Technology and Higher Education by NewsRx editors, the research stated,“Fi nTech companies have made the financial industry more efficient and have increas ed financial inclusion.”

    Study Findings on Machine Learning Published by a Researcher at Monterrey Instit ute of Technology and Higher Education (A Simple Credit Rating Prediction Model for FinTech Companies Using SMOTE and MRMR Techniques)

    109-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news originatingfrom the Monterrey Institut e of Technology and Higher Education by NewsRx editors, the research stated,“Fi nTech companies have made the financial industry more efficient and have increas ed financial inclusion.”

    Studies from Kansas State University Reveal New Findings on Machine Learning (Co nstraining Galaxy-halo Connection Using Machine Learning)

    111-111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 Machine Learning is now available. According to news reportingoriginating in Manhattan, Kansas, by New sRx journalists, research stated, “We investigate the potentialof machine learn ing (ML) methods to model small-scale galaxy clustering for constraining Halo Oc cupationDistribution (HOD) parameters. Our analysis reveals that while many ML algorithms report good statisticalfits, they often yield likelihood contours th at are significantly biased in both mean values and variancesrelative to the tr ue model parameters.”

    Studies from Kansas State University Reveal New Findings on Machine Learning (Co nstraining Galaxy-halo Connection Using Machine Learning)

    111-111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 Machine Learning is now available. According to news reportingoriginating in Manhattan, Kansas, by New sRx journalists, research stated, “We investigate the potentialof machine learn ing (ML) methods to model small-scale galaxy clustering for constraining Halo Oc cupationDistribution (HOD) parameters. Our analysis reveals that while many ML algorithms report good statisticalfits, they often yield likelihood contours th at are significantly biased in both mean values and variancesrelative to the tr ue model parameters.”

    New Machine Learning Findings Reported from University of Rijeka (Reshaping the Discovery of Self-assembling Peptides With Generative Ai Guided By Hybrid Deep L earning)

    112-112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 originating in Rijeka, Croati a, by NewsRx journalists, research stated, “Supramolecular peptidebasedmateria ls have great potential for revolutionizing fields like nanotechnology and medic ine. However,deciphering the intricate sequence-to-assembly pathway, essential for their real-life applications, remains achallenging endeavour.”

    New Machine Learning Findings Reported from University of Rijeka (Reshaping the Discovery of Self-assembling Peptides With Generative Ai Guided By Hybrid Deep L earning)

    112-112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 originating in Rijeka, Croati a, by NewsRx journalists, research stated, “Supramolecular peptidebasedmateria ls have great potential for revolutionizing fields like nanotechnology and medic ine. However,deciphering the intricate sequence-to-assembly pathway, essential for their real-life applications, remains achallenging endeavour.”

    Research on Machine Learning Described by a Researcher at Kangwon National Unive rsity (Estimating Rainfall Erosivity in North Korea Using Automated Machine Lear ning: Insights into Regional Soil Erosion Risks)

    113-113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 from Kangwon National University by NewsRx journalists, research stated, “Soil erosion due torainfal l is a critical environmental issue in North Korea, exacerbated by deforestation and climate change.”Financial supporters for this research include Korea Ministry of Environment.

    Research on Machine Learning Described by a Researcher at Kangwon National Unive rsity (Estimating Rainfall Erosivity in North Korea Using Automated Machine Lear ning: Insights into Regional Soil Erosion Risks)

    113-113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 from Kangwon National University by NewsRx journalists, research stated, “Soil erosion due torainfal l is a critical environmental issue in North Korea, exacerbated by deforestation and climate change.”Financial supporters for this research include Korea Ministry of Environment.

    Study Findings from Poznan University of Technology Broaden Understanding of Mac hine Learning (Tool Wear Prediction in Machining of Aluminum Matrix Composites w ith the Use of Machine Learning Models)

    114-114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 originatingfrom Poznan, Poland, by NewsRx correspondents, research stated, “This paper discusses the diagnosticmodels of tool wear during face milling of Aluminum Matrix Composite (AMC), classified as a difficult-tocutmaterial. Prediction and classification models were considere d.”

    Study Findings from Poznan University of Technology Broaden Understanding of Mac hine Learning (Tool Wear Prediction in Machining of Aluminum Matrix Composites w ith the Use of Machine Learning Models)

    114-114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 originatingfrom Poznan, Poland, by NewsRx correspondents, research stated, “This paper discusses the diagnosticmodels of tool wear during face milling of Aluminum Matrix Composite (AMC), classified as a difficult-tocutmaterial. Prediction and classification models were considere d.”