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Robotics & Machine Learning Daily News

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    Minghsin University of Science and Technology Researcher Furthers Understanding of Machine Learning (Forecasting Mechanical Properties of Steel Structures Throu gh Dynamic Metaheuristic Optimization For Adaptive Machine Learning)

    20-20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 reporting from Hsinchu, Taiwan , by NewsRx journalists, research stated, “Machine learning (ML) presents a prom ising method for predicting mechanical properties in structural engineering, par ticularly within complex nonlinear structures under extreme conditions.”

    New Findings from University of Michigan in the Area of Machine Learning Describ ed (Andez: an Open-source Tool for Author Name Disambiguation Using Machine Learning)

    21-21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 originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Author name disambiguation in bibliographic data is challenging due to the same names of different authors and name variations of authors. Various machine learning (ML) methods address t his, but a unified framework for comparing them is lacking.”

    Studies from University of Toronto Add New Findings in the Area of Robotics (An Aerial Robotic Missing-Person Search in Urban Settings-* * A Probabilistic Appro ach* *)

    21-22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 robotics have been published. According to news originating from Toronto, Canada, by NewsRx e ditors, the research stated, “Autonomous robotic teams have been proposed for a variety of lost-person searches in wilderness and urban settings.”

    New Machine Learning Study Results Reported from Royal Melbourne Institute of Te chnology - RMIT University (Delineation and Classification of Wetlands In the No rthern Jarrah Forest, Western Australia Using Remote Sensing and Machine Learning)

    22-23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 in Melbourne, Australi a, by NewsRx journalists, research stated, “Wetlands are under increasing pressu re from threatening processes. Efforts to protect and monitor wetlands are hampe red without datasets capturing the extent, type, and condition.”

    Study Data from University of Electronic Science and Technology of China Update Knowledge of Machine Learning (Millimetre-wave Beam Tracking: an Intelligent Mac hine Learning and Kalman Filter Fusion Technology)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting from Chengdu, People’ s Republic of China, by NewsRx journalists, research stated, “Millimeter-wave (m mWave) based wireless communication with beamforming is a promising technology t o meet the ever-increasing demand for communication bandwidth. However, due to t he narrow beam, beam tracking is a challenge since consistent accuracy tracking is required.”

    Reports on Androids Findings from Ecole de Technologie Superieure Provide New In sights (Walking Position Commanded Nao Robot Using Nonlinear Disturbance Observe r-based Fixed-time Terminal Sliding Mode)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics - Androids h ave been presented. According to news reporting out of Montreal, Canada, by News Rx editors, research stated, “The walking stability of a humanoid robot is a fun damental problem due to the complex nonlinear dynamic model of the robot’s legs. This work introduces the performance tracking control for the humanoid NAO robo t by using a Nonlinear Disturbance Observer (NDO)-based Fixed -time Terminal Sli ding Mode (FTSM).”

    Report Summarizes Robotics Study Findings from Sun Yat-sen University (Dacoop-a: Decentralized Adaptive Cooperative Pursuit Via Attention)

    25-26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 reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Integrating rule-based polic ies into reinforcement learning promises to improve data efficiency and generali zation in cooperative pursuit problems. However, most implementations do not pro perly distinguish the influence of neighboring robots in observation embedding o r inter-robot interaction rules, leading to information loss and inefficient coo peration.”

    New Robotics Study Findings Have Been Reported from Northwestern Polytechnic Uni versity (Automatic Construction of Graphical User Interfaces Semantic Models Usi ng Robots for Mobile Application Testing)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Xi’an, People’s Repu blic of China, by NewsRx correspondents, research stated, “With the growing adop tion of rich GUIs (Graphical User Interfaces) in mobile applications, researcher s and practitioners have focused on GUI-based testing of the applications. Const ructing a GUI model for AUT (Application Under Test) is a conventional strategy; nevertheless, automated modelling is typically grounded in source code logic, o ften lacking representation of functional semantics.”

    Study Findings from Kunming University Broaden Understanding of Robotics (Asympt otic Prescribed Output-feedback Control for Nonlinear Robotic Systems)

    27-28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 reporting from Kunming, People’s Republic of China, by New sRx journalists, research stated, “This article presents an asymptotic prescribe d output-feedback control method for robotic systems without function approximat ion techniques such as neural networks (NNs) and/or fuzzy logic systems (FLSs). The derived controller can not only drive the tracking error to zero within the predefined transient and steady-state boundary but also avoid the conventional r ecursive controller design procedure.”

    Study Data from University of Bergen Provide New Insights into Artificial Intell igence (Augmenting assessment with AI coding of online student discourse: A ques tion of reliability)

    27-27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 Bergen, Norway, by NewsRx editors, research stated, “Currently, many generative Artificial Intell igence (AI) tools are being integrated into the educational technology landscape for instructors.”