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    New Data from Liaoning Technical University Illuminate Findings in Machine Learn ing (Bayesian Optimized Deep Q-network for Diagnosing Mine Ventilation Systems W indage Alteration Fault Targeting Imbalanced Data)

    5-6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 Ma chine Learning. According to news originatingfrom Huludao, People’s Republic of China, by NewsRx correspondents, research stated, “Fault diagnosis ofmine vent ilation system is of great significance for mine safety production. Traditional machine learningalgorithms have been widely applied in the field of mine ventil ation systems windage alteration faults(WAFs) diagnosis, but these algorithms h ave poor intelligence and weak generalization ability.”

    New Data from Liaoning Technical University Illuminate Findings in Machine Learn ing (Bayesian Optimized Deep Q-network for Diagnosing Mine Ventilation Systems W indage Alteration Fault Targeting Imbalanced Data)

    5-6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 Ma chine Learning. According to news originatingfrom Huludao, People’s Republic of China, by NewsRx correspondents, research stated, “Fault diagnosis ofmine vent ilation system is of great significance for mine safety production. Traditional machine learningalgorithms have been widely applied in the field of mine ventil ation systems windage alteration faults(WAFs) diagnosis, but these algorithms h ave poor intelligence and weak generalization ability.”

    Data on Robotics Described by Researchers at University of Bremen (Tool Pose Mea surement Using Shadow Imaging Sensors)

    6-7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 Robotics is now availab le. According to news originating fromBremen, Germany, by NewsRx correspondents , research stated, “Due to the high positioning uncertaintyand low stiffness of robots, significant geometrical deviations occur in robotic incremental sheet f orming(ISF) which requires an optical in-process tool pose measurement. To achi eve a measuring uncertainty ofless than 50 mu\documen tclass[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ upmu $$\end{doc ument}m forthe position components and less than 0.05 degrees\ documentclass[12pt]{minimal} \usepackage{amsmath}\ usepackage{wasysym} \usepackage{ amsfonts} \usepackage{amssymb} \ usepackage{amsbsy}\usepackage{ mathrsfs} \usepackage{upgreek} \ setlength{\oddsidemargin}{ -69pt} \begin{document}$$ <. >\ circ $$\end{doc ument} for the orientation components in the machining volume, a multi-sensorsystem based on shadow imaging sensors is proposed.”

    Data on Robotics Described by Researchers at University of Bremen (Tool Pose Mea surement Using Shadow Imaging Sensors)

    6-7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 Robotics is now availab le. According to news originating fromBremen, Germany, by NewsRx correspondents , research stated, “Due to the high positioning uncertaintyand low stiffness of robots, significant geometrical deviations occur in robotic incremental sheet f orming(ISF) which requires an optical in-process tool pose measurement. To achi eve a measuring uncertainty ofless than 50 mu\documen tclass[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage{upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ upmu $$\end{doc ument}m forthe position components and less than 0.05 degrees\ documentclass[12pt]{minimal} \usepackage{amsmath}\ usepackage{wasysym} \usepackage{ amsfonts} \usepackage{amssymb} \ usepackage{amsbsy}\usepackage{ mathrsfs} \usepackage{upgreek} \ setlength{\oddsidemargin}{ -69pt} \begin{document}$$ <. >\ circ $$\end{doc ument} for the orientation components in the machining volume, a multi-sensorsystem based on shadow imaging sensors is proposed.”

    Guangxi Medical University Reports Findings in Thyroid Cancer (Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure an d thyroid cancer risk: A multi-module integrated analysis based on machine learn ing)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Thyroid Can cer is the subject of a report. Accordingto news reporting from Guangxi, People ’s Republic of China, by NewsRx journalists, research stated,“Exposure to per- and polyfluoroalkyl substances (PFAS) may linked to thyroid cancer (TC) risk, bu tinconsistent findings and a lack of studies on mixed exposures exist, especial ly regarding novel PFAScompounds. Additionally, little is known about the poten tial mechanisms underlying the association.”

    Guangxi Medical University Reports Findings in Thyroid Cancer (Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure an d thyroid cancer risk: A multi-module integrated analysis based on machine learn ing)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Thyroid Can cer is the subject of a report. Accordingto news reporting from Guangxi, People ’s Republic of China, by NewsRx journalists, research stated,“Exposure to per- and polyfluoroalkyl substances (PFAS) may linked to thyroid cancer (TC) risk, bu tinconsistent findings and a lack of studies on mixed exposures exist, especial ly regarding novel PFAScompounds. Additionally, little is known about the poten tial mechanisms underlying the association.”

    Ternopil Ivan Puluj National Technical University Researcher Describes Advances in Machine Learning (Loading Frequency Classification in Shape Memory Alloys: A Machine Learning Approach)

    8-9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 newsoriginating from Ternopil, Ukraine , by NewsRx editors, the research stated, “This paper investigates theuse of ma chine learning methods to predict the loading frequency of shape memory alloys ( SMAs) basedon experimental data. SMAs, in particular nickel-titanium (NiTi) all oys, have unique properties thatrestore the original shape after significant de formation.”

    Ternopil Ivan Puluj National Technical University Researcher Describes Advances in Machine Learning (Loading Frequency Classification in Shape Memory Alloys: A Machine Learning Approach)

    8-9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 newsoriginating from Ternopil, Ukraine , by NewsRx editors, the research stated, “This paper investigates theuse of ma chine learning methods to predict the loading frequency of shape memory alloys ( SMAs) basedon experimental data. SMAs, in particular nickel-titanium (NiTi) all oys, have unique properties thatrestore the original shape after significant de formation.”

    Research from Sun Yat-Sen University Provides New Study Findings on Robotics (De ep Reinforcement Learning-Based Robotic Puncturing Path Planning of Flexible Nee dle)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news reporting fromGuangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The path planning offlexible needles in robotic puncturing presents challenges such as limited model accuracy and poo r real-timeperformance, which affect both efficiency and accuracy in complex me dical scenarios.”

    Research from Sun Yat-Sen University Provides New Study Findings on Robotics (De ep Reinforcement Learning-Based Robotic Puncturing Path Planning of Flexible Nee dle)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news reporting fromGuangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The path planning offlexible needles in robotic puncturing presents challenges such as limited model accuracy and poo r real-timeperformance, which affect both efficiency and accuracy in complex me dical scenarios.”