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    Department of Orthopedics Reports Findings in Artificial Intelligence (Predictin g In-Hospital Mortality in Critical Orthopaedic Trauma Patients with Sepsis Usin g Machine Learning Models)

    118-119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 to newsreporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “This study aims to establish and validate machine learning-based models to predict d eath in hospitalamong critical orthopaedic trauma patients with sepsis or respi ratory failure. This study collected 523patients from the Medical Information M art for Intensive Care database.”

    Department of Orthopedics Reports Findings in Artificial Intelligence (Predictin g In-Hospital Mortality in Critical Orthopaedic Trauma Patients with Sepsis Usin g Machine Learning Models)

    118-119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 to newsreporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “This study aims to establish and validate machine learning-based models to predict d eath in hospitalamong critical orthopaedic trauma patients with sepsis or respi ratory failure. This study collected 523patients from the Medical Information M art for Intensive Care database.”

    Study Results from Aarhus University Broaden Understanding of Machine Learning ( A Vibration-based Machine Learning Approach for Roller Gap Detection In Biomass Pellet Production)

    120-120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 Aarhus, Denmar k, by NewsRx journalists, research stated, “This research focuseson optimising biomass pellet manufacturing processes by detecting roller gap variations in rot ary ring diepelleting (RRDP) technology. Integrating experimental testing, resp onse surface modelling (RSM), andvibration-based machine learning, this study a ims to ensure optimal conditions for biomass pellet milloperation.”

    Study Results from Aarhus University Broaden Understanding of Machine Learning ( A Vibration-based Machine Learning Approach for Roller Gap Detection In Biomass Pellet Production)

    120-120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 Aarhus, Denmar k, by NewsRx journalists, research stated, “This research focuseson optimising biomass pellet manufacturing processes by detecting roller gap variations in rot ary ring diepelleting (RRDP) technology. Integrating experimental testing, resp onse surface modelling (RSM), andvibration-based machine learning, this study a ims to ensure optimal conditions for biomass pellet milloperation.”

    Reports Summarize Machine Learning Research from University of Tehran (Evaluatin g the Impact of Recursive Feature Elimination on Machine Learning Models for Pre dicting Forest Fire-Prone Zones)

    121-121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 newsreporting originating from Tehran, Iran, by NewsRx correspondents, research stated, “This study aimedto enhance t he accuracy of forest fire susceptibility mapping (FSM) by innovatively applying recursivefeature elimination (RFE) with an ensemble of machine learning models , specifically Support VectorMachine (SVM) and Random Forest (RF), to identify key fire factors. The fire zones were derived fromMODIS satellite imagery from 2012 to 2017.”

    Reports Summarize Machine Learning Research from University of Tehran (Evaluatin g the Impact of Recursive Feature Elimination on Machine Learning Models for Pre dicting Forest Fire-Prone Zones)

    121-121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 newsreporting originating from Tehran, Iran, by NewsRx correspondents, research stated, “This study aimedto enhance t he accuracy of forest fire susceptibility mapping (FSM) by innovatively applying recursivefeature elimination (RFE) with an ensemble of machine learning models , specifically Support VectorMachine (SVM) and Random Forest (RF), to identify key fire factors. The fire zones were derived fromMODIS satellite imagery from 2012 to 2017.”

    Researchers from Northeastern University Detail New Studies and Findings in the Area of Robotics (Liquid Metal/sodium Alginate Composites for Direct-ink-writing Functional Soft Components of a Variable-stiffness Soft Robot)

    122-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Endowingvariable-stiffnes s soft robots (VSSRs) with sensing capabilities will help to improve their safe interactioncapabilities and intelligence. Therefore, this work adopts direct in k writing (DIW) to directly fabricatefunctional soft components of the VSSR, in cluding heating and sensing.”

    Researchers from Northeastern University Detail New Studies and Findings in the Area of Robotics (Liquid Metal/sodium Alginate Composites for Direct-ink-writing Functional Soft Components of a Variable-stiffness Soft Robot)

    122-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news originatingfrom Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Endowingvariable-stiffnes s soft robots (VSSRs) with sensing capabilities will help to improve their safe interactioncapabilities and intelligence. Therefore, this work adopts direct in k writing (DIW) to directly fabricatefunctional soft components of the VSSR, in cluding heating and sensing.”

    Findings from Northwestern Polytechnic University Yields New Findings on Robotic s (Adaptive Neural Delay Feedback Control of a Typical Robot On a Slope)

    123-123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 Ro botics. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “In this article, anadaptive neural delay feedback control strategy is proposed for the motion control of a two-wheel selfbalancingrobot (TWSBR) on a slope with an input delay. Based on the Lagrange equation, the dynamicmodel of the robot is derived.”

    Findings from Northwestern Polytechnic University Yields New Findings on Robotic s (Adaptive Neural Delay Feedback Control of a Typical Robot On a Slope)

    123-123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 Ro botics. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “In this article, anadaptive neural delay feedback control strategy is proposed for the motion control of a two-wheel selfbalancingrobot (TWSBR) on a slope with an input delay. Based on the Lagrange equation, the dynamicmodel of the robot is derived.”