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    Leiden University Medical Center Reports Findings in Machine Learning (Systemati c evaluation of machine learning models for postoperative surgical site infectio n prediction)

    27-28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 from Leiden, Neth erlands, by NewsRx correspondents, research stated, “Surgical siteinfections (S SIs) lead to increased mortality and morbidity, as well as increased healthcare costs. Multiplemodels for the prediction of this serious surgical complication have been developed, with an increasing useof machine learning (ML) tools.”

    Research from Russian Academy of Sciences Yields New Study Findings on Machine L earning (Uncertainty Quantification and Flagging of Unreliable Predictions in Pr edicting Mass Spectrometry-Related Properties of Small Molecules Using Machine . ..)

    28-29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 Moscow, Russia, b y NewsRx editors, the research stated, “Mass spectral identification(in particu lar, in metabolomics) can be refined by comparing the observed and predicted pro perties ofmolecules, such as chromatographic retention.”

    Studies from Tarbiat Modares University Reveal New Findings on Machine Learning (Damage Detection and Localization in a Cantilever Beam Structure Via Regression -and-Classification-Based Machine Learning)

    29-30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 newsreporting out of Tehran, Iran, by News Rx editors, research stated, “Recent advancements in structuralhealth monitorin g have been significantly driven by the integration of artificial intelligence t echnologies.”

    Recent Research from University of Southern Queensland Highlight Findings in Mac hine Learning (Rectangular Tunnel Heading Stability In Three Dimensions and Its Predictive Machine Learning Models)

    30-31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 from Toowoomba, Australia, b y NewsRx journalists, research stated, “Tunnel heading stabilityin two dimensio ns (2D) has been extensively investigated by numerous scholars in the past decad e. Onesignificant limitation of 2D analysis is the absence of actual tunnel geo metry modeling with a considerabledegree of idealization.”

    New Findings from Nazarbayev University in the Area of Robotics Described [Development of a Reduced-Degree-of-Freedom (DOF) Bipedal Robot with Elastic Ankl es]

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting out ofAstana, Kazakhstan, by NewsRx edito rs, research stated, “One of the most challenging aspects of designinga humanoi d robot is ensuring stable walking. To achieve this, the kinematic architecture must support3D motion and maintain equilibrium, particularly during single-foot support.”

    Guangzhou University Reports Findings in Machine Learning (Exploring Shared and Unique Predictors of Positive and Negative Risk- Taking Behaviors Among Chinese A dolescents Through Machine- Learning Approaches: Discovering Gender and Age Varia tions

    32-33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 Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Despiteextensive research on the impact of individual and environmental factors on negative risk-taking b ehaviors,the understanding of these factors’ influence on positive risk-taking, and how it compares to negative risktaking, remains limited. This research emp loyed machine-learning techniques to identify shared and uniquepredictors acros s individual, family, and peer domains.”

    Research on Machine Learning Detailed by a Researcher at Chinese Academy of Scie nces (Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel- 2 in Turkmenistan)

    33-34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 artificial in telligence have been published. According to newsreporting from the Chinese Aca demy of Sciences by NewsRx journalists, research stated, “This researchoffers a fresh understanding of desertification in Turkmenistan by utilizing satellite r emote sensing dataand machine learning techniques.”

    Launceston General Hospital Reports Findings in Arthroplasty (Noisy Robots? Comp arison of Occupational Noise Levels Between Robotic-Assisted and Conventional To tal Knee Arthroplasty)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to newsreporting out of Launceston, Aust ralia, by NewsRx editors, research stated, “Noise exposure during surgeryis a k nown occupational hazard, impacting staff hearing and surgical outcomes. Despite guidelines such asthe Australian Work Health and Safety Act, noise safety rema ins largely neglected in orthopaedic surgery.”

    Data from Guangxi University of Science and Technology Advance Knowledge in Robo tics (Path Planning of Multi-axis Robotic Arm Based On Improved Rrt)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news reporting originating in Liuzhou,People’s Republic of China, by News Rx journalists, research stated, “An improved RRT* algorithm,referred to as the AGP-RRT* algorithm, is proposed to address the problems of poor directionality, longgenerated paths, and slow convergence speed in multi-axis robotic arm path planning. First, an adaptivebiased probabilistic sampling strategy is adopted to dynamically adjust the target deviation threshold andoptimize the selection of random sampling points and the direction of generating new nodes in order toreduce the search space and improve the search efficiency.”

    Researcher at Qazvin Islamic Azad University Releases New Study Findings on Mach ine Learning (Ablation and mechanical properties of carbon/high silica/phenolic composites: Using experimental analysis and five machine learning models for … )

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Qazvin, Iran, by NewsR x journalists, research stated, “This paper investigates the thermal andmechani cal properties of carbon/high silica/phenolic composites with varying reinforcem ent ratios.”