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    New Findings from Royal Holloway - University of London Describe Advances in Robotics [Being Alone or Together: How Frontline Anthropomorphized Robots Affect Solo (Vs. Joint) Service Consumption]

    38-39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 fromEgham, United Kingdom, by NewsRx correspondents, research stated, “Solo consumption has become an emerging trend in recent years. However, the service experiences of solo customers with the growingadoption of frontline humanlike robots remain unclear, particularly in direct comparison with jointcustomers.”
      原文链接:
    • NETL
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    Findings from University of Massachusetts Has Provided New Data on Machine Learning (Application of Machine Learning In Polymer Additive Manufacturing: a Review)

    39-40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 reportingoriginating in Lowell, Massachusetts, by NewsRx journalists, research stated, “Additive manufacturing(AM) is a revolutionary technology that enables production of intricate structures while minimizing materialwaste. However, its full potential has yet to be realized due to technical challenges such as the dependenceof part quality on numerous process parameters, the vast number of design options, and the occurrence ofdefects.”
      原文链接:
    • NETL
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    Research Conducted at Zhejiang University Has Updated Our Knowledge about Machine Learning (Multi-objective Optimization of Radially Stirred Tank Based On Cfd and Machine Learning)

    40-41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 reporting fromHangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Structural optimizationis essential to improve the performance of mixing equipment. An efficient optimization strategy based oncomputational fluid dynamics, machine learning, and the multi-objective genetic algorithm was proposedto predict and optimize the performance of the stirred tank.”
      原文链接:
    • NETL
    • NSTL

    Investigators from University of Limerick Have Reported New Data on Machine Learning (A Machine Learning Approach To Automate Ductile Damage Parameter Selection Using Finite Element Simulations)

    41-42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 reportingoriginating in Limerick, Ireland, by NewsRx journalists, research stated, “Ductile damage models requireconstitutive model parameter values that are difficult to derive experimentally or analytically. The calibrationprocedure for ductile damage model parameters, typically performed manually, is labour-intensive.”
      原文链接:
    • NETL
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    University of Chinese Academy of Sciences Reports Findings in Machine Learning (A kinetic-assisted growth curve prediction method for Chlamydomonas reinhardtii incorporating transfer learning)

    42-43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 the subject of a report. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Traditionalpredictions of microalgal growth states rely on empirical or easily implementable kinetic models, leading tosignificant biases and elevated cost. This study proposes a kinetic-assisted machine learning method forpredicting the growth curve of microalgal biomass under small sample conditions.”
      原文链接:
    • NETL
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    Korea Institute of Ocean Science & Technology Researcher Has Published New Study Findings on Machine Learning (Prediction of the Turbidity Distribution Characteristics in a Semi-Enclosed Estuary Based on the Machine Learning)

    43-43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 intelligence have been published. According tonews reporting originating from Busan, South Korea, by NewsRx correspondents, research stated, “Thisstudy addresses the critical challenge of predicting sediment behavior in a semi-enclosed estuary, where theinterplay between artificial freshwater discharge and seawater significantly impacts turbidity.”
      原文链接:
    • NETL
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    Findings from School of Biochemical Engineering Update Understanding of Machine Learning (Machine Learning-based Optimisation of Microalgae Biomass Production By Using Wastewater)

    44-44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. According to news originatingfrom Varanasi, India, by NewsRx correspondents, research stated, “Microalgae biomass a valuable resourcefor energy source and fertilisers. Among all available media sources, wastewater serves as cost-efficientmedia for microalgae biomass production.”
      原文链接:
    • NETL
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    Studies in the Area of Robotics Reported from Universidade Federal do Espirito Santo (Overground Walking With a Transparent Exoskeleton Shows Changes in Spatiotemporal Gait Parameters)

    45-46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 robotics. According to news originating fromVitoria, Brazil, by NewsRx correspondents, research stated, “Lower-limb gait training (GT) exoskeletons have been successfully used in rehabilitation programs to overcome the burden of locomotor impairment.However, providing suitable net interaction torques to assist patient movements is still a challenge.”
      原文链接:
    • NETL
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    Research on Robotics Detailed by Researchers at China University of Mining and Technology (Fuzzy Rule-Based Section Forming for Mining Robotic Excavation Error Compensation)

    45-45页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in robotics. According to news reporting out of Beijing, People’sRepublic of China, by NewsRx editors, research stated, “Based on the automatic forming technologyfor mine roadway sections and the error measurement technology for boom-type roadheaders, this studyprimarily uses a fuzzy neural network with a proportional-integral-derivative (PID) controller to compensatefor pose errors.”
      原文链接:
    • NETL
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    Research in the Area of Robotics Reported from Federal Research Center (Synthesis of a Feedback Controller by the Network Operator Method for a Mobile Robot Rosbot in Gazebo Environment)

    46-47页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been presented. According to news reporting originatingfrom Moscow, Russia, by NewsRx correspondents, research stated, “The article presents an approach basedon machine learning with symbolic regression for the synthesis of a stabilization system for a mobile robot.”
      原文链接:
    • NETL
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