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    Baylor College of Medicine Researcher Describes Research in Artificial Intellige nce (Evaluation of an artificial intelligence-based intraocular lens calculator)

    66-67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 reportingoriginating from Houston, Texas, by NewsRx correspondents, research stated, “To evaluate the ZEISS AIIOL Calcula tor (ZEISS AI) and compare its accuracy in refractive prediction to the Barrett Universal II(BUII) and Kane formulas. Cullen Eye Institute, Baylor College of M edicine, Houston, TX.”

    Baylor College of Medicine Researcher Describes Research in Artificial Intellige nce (Evaluation of an artificial intelligence-based intraocular lens calculator)

    66-67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 reportingoriginating from Houston, Texas, by NewsRx correspondents, research stated, “To evaluate the ZEISS AIIOL Calcula tor (ZEISS AI) and compare its accuracy in refractive prediction to the Barrett Universal II(BUII) and Kane formulas. Cullen Eye Institute, Baylor College of M edicine, Houston, TX.”

    New Machine Learning Data Have Been Reported by Researchers at Zhejiang Universi ty (A Novel Nlos Acoustic Signal Identification Method for Indoor Localization B ased On Machine Learning)

    67-68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 Hangzhou, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Near-ultra sound acoustic localization has emerged as a cost-effective and precise techniqu e forindoor localization. Acoustic Non-Line-of-Sight (NLOS) identification is e ssential in indoor localizationsystems.”

    New Machine Learning Data Have Been Reported by Researchers at Zhejiang Universi ty (A Novel Nlos Acoustic Signal Identification Method for Indoor Localization B ased On Machine Learning)

    67-68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 Hangzhou, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Near-ultra sound acoustic localization has emerged as a cost-effective and precise techniqu e forindoor localization. Acoustic Non-Line-of-Sight (NLOS) identification is e ssential in indoor localizationsystems.”

    Researchers at Chongqing Medical University Release New Data on Support Vector M achines (Predicting the Prognosis of Hifu Ablation of Uterine Fibroids Using a D eep Learning-based 3d Superresolution Dwi Radiomics Model: a Multicenter Study)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Support Vector Machines is now available. According to newsreporting originating from Chongqin g, People’s Republic of China, by NewsRx correspondents, researchstated, “Ratio nale and objectives: To assess the feasibility and efficacy of a deep learning-b ased threedimensional(3D) super-resolution diffusion-weighted imaging (DWI) ra diomics model in predicting theprognosis of high-intensity focused ultrasound ( HIFU) ablation of uterine fibroids. This retrospective studyincluded 360 patien ts with uterine fibroids who received HIFU treatment, including Center A (traini ng set:N = 240; internal testing set: N = 60) and Center B (external testing se t: N = 60) and were classifiedas having a favorable or unfavorable prognosis ba sed on the postoperative non-perfusion volume ratio.”

    Researchers at Chongqing Medical University Release New Data on Support Vector M achines (Predicting the Prognosis of Hifu Ablation of Uterine Fibroids Using a D eep Learning-based 3d Superresolution Dwi Radiomics Model: a Multicenter Study)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Support Vector Machines is now available. According to newsreporting originating from Chongqin g, People’s Republic of China, by NewsRx correspondents, researchstated, “Ratio nale and objectives: To assess the feasibility and efficacy of a deep learning-b ased threedimensional(3D) super-resolution diffusion-weighted imaging (DWI) ra diomics model in predicting theprognosis of high-intensity focused ultrasound ( HIFU) ablation of uterine fibroids. This retrospective studyincluded 360 patien ts with uterine fibroids who received HIFU treatment, including Center A (traini ng set:N = 240; internal testing set: N = 60) and Center B (external testing se t: N = 60) and were classifiedas having a favorable or unfavorable prognosis ba sed on the postoperative non-perfusion volume ratio.”

    Researchers from China University of Mining and Technology Describe Findings in Robotics (Autonomous walking path planning of underground handling robot based o n improved A* and DWA algorithm)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news reporting originating from Xuzhou,People’s Republic of China, by News Rx correspondents, research stated, “In view of the problems ofmany labors and low efficiency in the underground handling process, as well as the difficulties of manytransport links, difficult transport operation and slow manual transport , the handling robot is taken as theresearch object, and the path planning meth od of underground roadway is studied through simulation andexperiment. Firstly, the specific demand analysis of the underground transport conditions is carried out todetermine the typical transportation scenarios such as ‘multi-transport point roadway’ and ‘last 1km directtransport’, and the autonomous walking strat egies are established respectively to improve the applicabilityand rationality of the autonomous walking path planning of the underground handling robot.”

    Researchers from China University of Mining and Technology Describe Findings in Robotics (Autonomous walking path planning of underground handling robot based o n improved A* and DWA algorithm)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news reporting originating from Xuzhou,People’s Republic of China, by News Rx correspondents, research stated, “In view of the problems ofmany labors and low efficiency in the underground handling process, as well as the difficulties of manytransport links, difficult transport operation and slow manual transport , the handling robot is taken as theresearch object, and the path planning meth od of underground roadway is studied through simulation andexperiment. Firstly, the specific demand analysis of the underground transport conditions is carried out todetermine the typical transportation scenarios such as ‘multi-transport point roadway’ and ‘last 1km directtransport’, and the autonomous walking strat egies are established respectively to improve the applicabilityand rationality of the autonomous walking path planning of the underground handling robot.”

    Investigators from Delft University of Technology Target Robotics (Neural Optima l Control for Constrained Visual Servoing Via Learning From Demonstration)

    70-71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 originating from Delft,Netherlands, by NewsRx corre spondents, research stated, “This paper proposes a novel optimal controlscheme for constrained image based visual servoing of a robot manipulator. For a robot manipulator withan eye-on-hand configuration, visibility constraint is an essen tial requirement to avoid servo failure, whilerobot’s actuator limits must also be satisfied.”

    Investigators from Delft University of Technology Target Robotics (Neural Optima l Control for Constrained Visual Servoing Via Learning From Demonstration)

    70-71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 originating from Delft,Netherlands, by NewsRx corre spondents, research stated, “This paper proposes a novel optimal controlscheme for constrained image based visual servoing of a robot manipulator. For a robot manipulator withan eye-on-hand configuration, visibility constraint is an essen tial requirement to avoid servo failure, whilerobot’s actuator limits must also be satisfied.”