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    Study Results from Zhejiang University Broaden Understanding of Robotics (An Eff icient Single-shot Global Localization Method for Indoor Mobile Robots Usingphas e Correlation)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting from Hangzhou,People’s Republic of China, by New sRx journalists, research stated, “The purposes of this paper are tosolve the l ow-efficiency problem caused by large search space in global localization and de velop an efficientglobal localization method requiring only one 2D-LiDAR scan t o match against the prior map for indoormobile robots. Design/methodology/appro ach - This paper solves the global localization problem usingphase correlation as the underlying registration method.”

    Study Results from Zhejiang University Broaden Understanding of Robotics (An Eff icient Single-shot Global Localization Method for Indoor Mobile Robots Usingphas e Correlation)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting from Hangzhou,People’s Republic of China, by New sRx journalists, research stated, “The purposes of this paper are tosolve the l ow-efficiency problem caused by large search space in global localization and de velop an efficientglobal localization method requiring only one 2D-LiDAR scan t o match against the prior map for indoormobile robots. Design/methodology/appro ach - This paper solves the global localization problem usingphase correlation as the underlying registration method.”

    Sun Yat-Sen University Researcher Describes Recent Advances in Artificial Intell igence (The Analysis of the Abnormal Return Rate of Platform Enterprises)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingoriginating from Zhuhai, People’s R epublic of China, by NewsRx correspondents, research stated, “It is adefinite t rend that AI technology has become a new important factor of production.”

    Sun Yat-Sen University Researcher Describes Recent Advances in Artificial Intell igence (The Analysis of the Abnormal Return Rate of Platform Enterprises)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingoriginating from Zhuhai, People’s R epublic of China, by NewsRx correspondents, research stated, “It is adefinite t rend that AI technology has become a new important factor of production.”

    Reports from Nanyang Technological University Advance Knowledge in Machine Learn ing (Advanced Designs and Optimization for Efficiently Enhancing Shipboard Co2 C apture)

    92-93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 Machine Learn ing have been published. According to newsoriginating from Singapore, Singapore , by NewsRx correspondents, research stated, “Shipboard CO2capture (SCC) proces ses face significant challenges, including high costs and the need for extra hea tingenergy to capture 90% of the CO2. Therefore, this study propo ses advanced designs and an integrationframework using correlation analysis and machine learning-based optimization to achieve the energy- andcost-effective S CC process.”

    Reports from Nanyang Technological University Advance Knowledge in Machine Learn ing (Advanced Designs and Optimization for Efficiently Enhancing Shipboard Co2 C apture)

    92-93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 Machine Learn ing have been published. According to newsoriginating from Singapore, Singapore , by NewsRx correspondents, research stated, “Shipboard CO2capture (SCC) proces ses face significant challenges, including high costs and the need for extra hea tingenergy to capture 90% of the CO2. Therefore, this study propo ses advanced designs and an integrationframework using correlation analysis and machine learning-based optimization to achieve the energy- andcost-effective S CC process.”

    Researchers from Ohio State University Provide Details of New Studies and Findin gs in the Area of Machine Learning (Applying Machine-learning Methods To Laser A cceleration of Protons: Lessons Learned From Synthetic Data)

    93-94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 Machine Learn ing have been published. According to newsreporting originating in Columbus, Oh io, by NewsRx journalists, research stated, “In this study, we considerthree di fferent machine-learning methods-a three-hidden-layer neural network, support ve ctor regression,and Gaussian process regression-and compare how well they can l earn from a synthetic data set for protonacceleration in the Target Normal Shea th Acceleration regime. The synthetic data set was generated froma previously p ublished theoretical model by Fuchs et al. 2005 that we modified.”

    Researchers from Ohio State University Provide Details of New Studies and Findin gs in the Area of Machine Learning (Applying Machine-learning Methods To Laser A cceleration of Protons: Lessons Learned From Synthetic Data)

    93-94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 Machine Learn ing have been published. According to newsreporting originating in Columbus, Oh io, by NewsRx journalists, research stated, “In this study, we considerthree di fferent machine-learning methods-a three-hidden-layer neural network, support ve ctor regression,and Gaussian process regression-and compare how well they can l earn from a synthetic data set for protonacceleration in the Target Normal Shea th Acceleration regime. The synthetic data set was generated froma previously p ublished theoretical model by Fuchs et al. 2005 that we modified.”

    Findings from Leiden University Has Provided New Data on Machine Learning (Machi ne Learning To Support Prospective Life Cycle Assessment of Emerging Chemical Te chnologies)

    94-95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 Machine Learning is now available. According to news originatingfrom Leiden, Netherlands, by NewsRx co rrespondents, research stated, “Increasing calls for safer andmore sustainable approaches to innovation in the chemical sector necessitate adapted methods for theenvironmental assessment of emerging chemical technologies. While these tech nologies are still in theresearch and development phase, gaining an early under standing of their potential implications is crucialfor their eventual introduct ion into markets worldwide.”

    Findings from Leiden University Has Provided New Data on Machine Learning (Machi ne Learning To Support Prospective Life Cycle Assessment of Emerging Chemical Te chnologies)

    94-95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 Machine Learning is now available. According to news originatingfrom Leiden, Netherlands, by NewsRx co rrespondents, research stated, “Increasing calls for safer andmore sustainable approaches to innovation in the chemical sector necessitate adapted methods for theenvironmental assessment of emerging chemical technologies. While these tech nologies are still in theresearch and development phase, gaining an early under standing of their potential implications is crucialfor their eventual introduct ion into markets worldwide.”