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    Researchers from Egypt-Japan University of Science and Technology Report Recent Findings in Machine Learning (A Machine Learning Approach for Estimating the Dri ft Velocities of Equatorial Plasma Bubbles Based On All-sky Imager and Gnss ...)

    43-44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 tonews originating from Alexandria, Egypt, b y NewsRx correspondents, research stated, “Equatorial Plasma Bubbles (EPBs) are zones characterized by fluctuations in plasma densities which form in the low-latitude ionosphere primarily during the post-sunset. They subject radio signals t o amplitude and phasevariabilities, affecting the functioning of technological systems that utilize the Global Navigation SatelliteSystems (GNSS) signals for navigation.”

    Researchers from Egypt-Japan University of Science and Technology Report Recent Findings in Machine Learning (A Machine Learning Approach for Estimating the Dri ft Velocities of Equatorial Plasma Bubbles Based On All-sky Imager and Gnss ...)

    43-44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 tonews originating from Alexandria, Egypt, b y NewsRx correspondents, research stated, “Equatorial Plasma Bubbles (EPBs) are zones characterized by fluctuations in plasma densities which form in the low-latitude ionosphere primarily during the post-sunset. They subject radio signals t o amplitude and phasevariabilities, affecting the functioning of technological systems that utilize the Global Navigation SatelliteSystems (GNSS) signals for navigation.”

    First People’s Hospital Reports Findings in Breast Cancer (Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metas tasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negativ e ...)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. According to newsoriginating from Zhejiang, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Earlyand ac curate prediction of axillary lymph node metastasis (ALNM) is crucial in determi ning appropriatetreatment strategies for patients with early-stage breast cance r. The aim of this study was to evaluatethe efficacy of radiomic features extra cted from ultrasound (US) images combined with machine learning(ML) methods in predicting ALNM to improve diagnostic accuracy and patient prognosis.”

    First People’s Hospital Reports Findings in Breast Cancer (Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metas tasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negativ e ...)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. According to newsoriginating from Zhejiang, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Earlyand ac curate prediction of axillary lymph node metastasis (ALNM) is crucial in determi ning appropriatetreatment strategies for patients with early-stage breast cance r. The aim of this study was to evaluatethe efficacy of radiomic features extra cted from ultrasound (US) images combined with machine learning(ML) methods in predicting ALNM to improve diagnostic accuracy and patient prognosis.”

    Studies from Guilin University of Aerospace Technology in the Area of Robotics D escribed (Improved Double Deep Q Network Algorithm Based On Average Q-value Esti mation and Reward Redistribution for Robot Path Planning)

    46-47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 out of Guilin, People’sRepublic of China, by NewsRx editor s, research stated, “By integrating deep neural networks with reinforcementlear ning, the Double Deep Q Network (DDQN) algorithm overcomes the limitations of Qlearningin handling continuous spaces and is widely applied in the path plannin g of mobile robots. However,the traditional DDQN algorithm suffers from sparse rewards and inefficient utilization of high-qualitydata.”

    Studies from Guilin University of Aerospace Technology in the Area of Robotics D escribed (Improved Double Deep Q Network Algorithm Based On Average Q-value Esti mation and Reward Redistribution for Robot Path Planning)

    46-47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 out of Guilin, People’sRepublic of China, by NewsRx editor s, research stated, “By integrating deep neural networks with reinforcementlear ning, the Double Deep Q Network (DDQN) algorithm overcomes the limitations of Qlearningin handling continuous spaces and is widely applied in the path plannin g of mobile robots. However,the traditional DDQN algorithm suffers from sparse rewards and inefficient utilization of high-qualitydata.”

    New Robotics Study Findings Have Been Reported by Researchers at Xidian Universi ty (Relative dynamics modeling and force-position hybrid control of dual-arm cut ting robot)

    47-47页
    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 disc ussed in a new report. According to newsreporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “The dualarmcutting robot a ddresses the low efficiency of traditional single-arm roadheaders when cutting l argecross-sections.”

    New Robotics Study Findings Have Been Reported by Researchers at Xidian Universi ty (Relative dynamics modeling and force-position hybrid control of dual-arm cut ting robot)

    47-47页
    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 disc ussed in a new report. According to newsreporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “The dualarmcutting robot a ddresses the low efficiency of traditional single-arm roadheaders when cutting l argecross-sections.”

    Studies from Zhejiang University Yield New Information about Machine Learning (I ntelligent Prediction Framework for Axial Compressive Capacity of Frp-racfst Col umns)

    48-48页
    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. Accordingto news reporting out of Hangzhou, Peop le’s Republic of China, by NewsRx editors, research stated,“Fiber reinforced po lymer confined-recycled aggregate concrete filled steel tube (FRP-RACFST) not on lyproposes excellent load-bearing capacity and corrosion resistance, but is als o an environmentally friendlystructure due to the incorporation of recycled agg regate concrete (RAC). This paper proposes a machinelearning-based framework fo r predicting the axial compression capacity of FRP-RACFST.”

    Studies from Zhejiang University Yield New Information about Machine Learning (I ntelligent Prediction Framework for Axial Compressive Capacity of Frp-racfst Col umns)

    48-48页
    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. Accordingto news reporting out of Hangzhou, Peop le’s Republic of China, by NewsRx editors, research stated,“Fiber reinforced po lymer confined-recycled aggregate concrete filled steel tube (FRP-RACFST) not on lyproposes excellent load-bearing capacity and corrosion resistance, but is als o an environmentally friendlystructure due to the incorporation of recycled agg regate concrete (RAC). This paper proposes a machinelearning-based framework fo r predicting the axial compression capacity of FRP-RACFST.”