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Robotics & Machine Learning Daily News

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    Reports from College of Information and Control Engineering Highlight Recent Res earch in Robotics (A Robotic Solution for Precision Smoothing and Roughening of Precast Concrete Surfaces: Design and Experimental Validation)

    1-1页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on robotics is now availab le. According to news originating from the College of Information and Control En gineering by NewsRx editors, the research stated, “Prefabricated construction ha s pioneered a new model in the construction industry, where prefabricated compon ent modules are produced in factories and assembled on-site by construction work ers, resulting in a highly efficient and convenient production process.”
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    New Findings from Yan’an University Describe Advances in Robotics (Large Deforma tion, High Energy Density Dielectric Elastomer Actuators: Principles, Factors, Optimization, Applications, and Prospects)

    2-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news originating from Yanan, People’s Republic of China, by NewsRx correspondents, research stated, “Compared to traditional robots, soft robots have more intriguing performance. Dielectric elastomer actuators (DEAs) are the key components of soft robots.”
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    Study Findings on Machine Learning Published by Researchers at Taylor’s University (A secure edge computing model using machine learning and IDS to detect and i solate intruders)

    3-3页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting out of Taylor’s University by NewsRx editors, research stated, “The article presents a secure edge compu ting model that utilizes machine learning for intrusion detection and isolation. ”
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    New Support Vector Machines Study Findings Has Been Reported by a Researcher at Sichuan University (Classification Strategy for Power Quality Disturbances Based on Variational Mode Decomposition Algorithm and Improved Support Vector Machine )

    3-4页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on have been published. Acc ording to news reporting from Chengdu, People’s Republic of China, by NewsRx jou rnalists, research stated, “With the continuous improvement in production effici ency and quality of life, the requirements of electrical equipment for power qua lity are also increasing.”
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    Studies in the Area of Cognitive Robotics Reported from Guilin University of Ele ctronic Technology [YOLOT: Multi-scale and diverse tire sidew all text region detection based on You-Only-Look-Once(YOLOv5)]

    4-5页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in cognitiver obotics. According to news reporting from Guilin, People’s Republic of China, by NewsRx journalists, research stated, “Driving safety is significant to building a people-oriented and harmonious society, Tires are one of the key components of a vehicle and the character information on the tire sidewall is critical to th eir storage and usage.”
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    New Intelligent Systems Study Findings Have Been Reported from Shandong Normal University (Combining Transformer Global and Local Feature Extraction for Object Detection)

    5-6页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learning - Intelligent Systems have been published. According to news reporting out o f Shandong, People’s Republic of China, by NewsRx editors, research stated, “Convolutional neural network (CNN)-based object detectors perform excellently but l ack global feature extraction and cannot establish global dependencies between object pixels. Although the Transformer is able to compensate for this, it does not incorporate the advantages of convolution, which results in insufficient info rmation being obtained about the details of local features, as well as slow speed and large computational parameters.”
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    Study Data from Bu-Ali Sina University Provide New Insights into Machine Learning (Partial discharge localization in power transformer tanks using machine learn ing methods)

    6-7页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from Bu-Ali Sina University by NewsRx correspondents, research stated, “This paper presents a comp arison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank.”
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    Studies Conducted at Ludwig-Maximilians-University Munich on Machine Learning Recently Reported (Improving Forecasts of Precipitation Extremes Over Northern and Central Italy Using Machine Learning)

    7-8页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating from Munich, Germany, by NewsRx correspondents, research stated, “The accurate prediction of intense p recipitation events is one of the main objectives of operational weather service s. This task is even more relevant nowadays, with the rapid progression of globa l warming which intensifies these events.” Financial support for this research came from German Research Foundation (DFG).
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    Beijing University of Technology Researcher Updates Understanding of Robotics (An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning)

    8-9页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on robotics are presented in a new rep ort. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “The traditional Model-Based Reinforcement Learning (MBRL) algorithm has high computational cost, poor convergence, and poo r performance in robot spatial cognition and navigation tasks, and it cannot ful ly explain the ability of animals to quickly adapt to environmental changes and learn a variety of complex tasks.”
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    Researchers’ Work from Pennsylvania State University (Penn State) Focuses on Mac hine Learning (Design and Validation of Refractory Alloys Using Machine Learning , Calphad, and Experiments)

    9-10页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of University Park, Penn sylvania, by NewsRx editors, research stated, “Refractory multicomponent alloys (RMCAs) have garnered attention as potential materials for high-temperature stru ctural applications, due to their excellent mechanical properties. However, conv entional alloy design has limitations in terms of constrained compositional spac e and a lack of computational databases with adequate coverage.”
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