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    Data on Robotics Published by a Researcher at Technical University Valencia (TU Valencia) (Identifying the Sweet Spot of Padel Rackets with a Robot)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subject of a new report. According to news reportingoriginating from Valencia, Spain, by NewsRx correspondents, research stated, “Although the vibration ofrackets and the location of the sweet spot for players when hitting the ball is crucial, manufacturers donot specify this behavior precisely.”

    Sun Yat-sen University Cancer Center Reports Findings in Machine Learning (Machine learning-based ensemble prediction model for the gamma passing rate of VMAT-SBRT plan)

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    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 the subject of a report. According to newsreporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated,“The purpose of this study was to accurately predict or classify the beam GPR with an ensemble model byusing machine learning for SBRT(VMAT) plans. A total of 128 SBRT VMAT plans with 330 arc beamswere retrospectively selected, and 216 radiomics and 34 plan complexity features were calculated for eacharc beam.”

    Universidad Autonoma de Tlaxcala Researcher Updates Current Data on Artificial Intelligence (Artificial Intelligence in Learning Prevention of Academic Plagiarism and Assessment)

    3-4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 intelligence have been presented. According to news reportingfrom the Universidad Autonoma de Tlaxcala by NewsRx journalists, research stated, “Use of artificialintelligence tools to prevent academic plagiarism and assess learning.”

    Reports Summarize Robotics and Mechatronics Research from Teikyo University (Self-Localization Using Trajectory Attractors in Outdoor Environments)

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    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 robotics and mechatronics. According to newsreporting from Tochigi, Japan, by NewsRx journalists, research stated, “Self-localization in probabilisticrobotics requires detailed, geographically consistent environmental maps, which increases the computationalcost.”

    Liverpool John Moores University Researcher Details Findings in Machine Learning (Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning)

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    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 newsoriginating from Liverpool, United Kingdom, by NewsRx correspondents, research stated, “Patients inIntensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with ahigh risk of death.”

    Study Findings from Nanjing University Broaden Understanding of Machine Learning (Learnware: Small Models Do Big)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated,“There are complaints about current machine learning techniques such as the requirement of a huge amountof training data and proficient training skills, the difficulty of continual learning, the risk of catastrophicforgetting, and the leaking of data privacy/proprietary.”

    Research Conducted at Hanoi University of Science and Technology Has Updated Our Knowledge about Robotics (On Solving the Kinematics and Controlling of Origami Box-shaped Robot)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are discussed in a new report. According to newsreporting originating from Hanoi, Vietnam, by NewsRx correspondents, research stated, “Nowadays, theuse of origami pattern for transformable robot is implemented in much research with the advantages ofcreating lightweight, transformability from 2D to 3D shapes. However, most of the origami patterns aremade of several creases, then forming 3D shapes process requires complicated folding behaviours.”

    Reports from Wenzhou University Provide New Insights into Intelligent Systems (Bert-based Graph Unlinked Embedding for Sentiment Analysis)

    6-7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 Machine Learning - Intelligent Systems. According to news reporting from Zhejiang, People’s Republic of China, by NewsRx journalists, research stated,“Numerous graph neural network (GNN) models have been used for sentiment analysis in recent years.Nevertheless, addressing the issue of over-smoothing in GNNs for node representation and finding moreeffective ways to learn both global and local information within the graph structure, while improving modelefficiency for scalability to large text sentiment corpora, remains a challenge.”

    Recent Findings in Machine Learning Described by Researchers from National University of Colombia (Patch Loading Resistance Prediction of Plate Girders With Multiple Longitudinal Stiffeners Using Machine Learning)

    7-8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 Machine Learning. According to news reportingfrom Medellin, Colombia, by NewsRx journalists, research stated, “This paper is aimed at investigating theeffect of multiple longitudinal stiffeners on the patch loading resistance of slender steel plate girders. Firstly,a numerical study is conducted through geometrically and materially nonlinear analysis with imperfectionsincluded (GMNIA), the model is validated with experimental results taken from the literature.”

    Researchers from National Institute of Technology Jamshedpur Detail New Studies and Findings in the Area of Machine Learning (Assessing Temporal Snow Cover Variation In the Sutlej River Basin Using Google Earth Engine and Machine Learning Models)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Jamshedpur, India, by NewsRx journalists, research stated, “Snow cover information isessential for pursuing seasonal variation studies in Himalayan river basins. This study aims to investigatethe seasonal variation of snow cover in the Sutlej river basin (Tibet to Bhakra dam in India) over threedifferent seasons: Monsoon (June-September), winter (October-January), and summer (February-May)during the period 2010-2021.”