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    Findings from Dongguk University Provide New Insights into Artificial Intelligen ce (Artificial Intelligence-Based Segmentation and Classification of Plant Image s with Missing Parts and Fractal Dimension Estimation)

    68-69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 artificial intelligen ce have been presented. According to news reporting originating from Seoul, Sout h Korea, by NewsRx correspondents, research stated, “Existing research on image- based plant classification has demonstrated high performance using artificial in telligence algorithms.”Funders for this research include Ministry of Science And Ict.

    Researchers’ from Ningbo Polytechnic Report Details of New Studies and Findings in the Area of Robotics (Upper limb exoskeleton rehabilitation robot inverse kin ematics modeling and solution method based on multi-objective optimization)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on robotics is the subject of a new report. According to news reporting originating from the Ningbo Polytechnic by N ewsRx correspondents, research stated, “The inverse kinematics problem of exoske leton rehabilitation robots is challenging due to the lack of a standard analyti cal model, resulting in a complex and varied solution process.”Financial supporters for this research include China Scholarship Council (Csc) F or Studies At The Institute of Solid Mechanics of Romanian Academy, Roumania; In ternational Cooperation Project of Ningbo City; National Key Research And Develo pment Program of China; Shenzhen Science And Technology Innovation Program.

    American University of Sharjah Researchers Target Machine Learning (Elevated Tem perature Effects on FRP-Concrete Bond Behavior: A Comprehensive Review and Machi ne Learning-Based Bond Strength Prediction)

    70-71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 out of American Univ ersity of Sharjah by NewsRx editors, research stated, “Because of their improved properties, FRP composites are vastly used in the strengthening of aged concret e infrastructures.”

    Reports from University of Wisconsin Milwaukee Add New Study Findings to Researc h in Machine Learning (Tribological analysis and machine learning modeling of ni ckel-coated graphite reinforced A206 metal matrix composites)

    71-71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 artificial intelligen ce have been presented. According to news reporting originating from Milwaukee, Wisconsin, by NewsRx correspondents, research stated, “This paper demonstrates t he successful dispersion of up to 8 wt% nickel-coated graphite (Ni Gr) particles in A206 aluminum alloys using stir mixing followed by casting.”

    New Fullerenes Findings Has Been Reported by Investigators at Anhui University o f Technology (Important Structural Parameter for Curvature Effect of Tm-n4 Embed ed C 70 Fullerenes As Electrocatalysts for Co2 Reduction Interpreted With Machin e ...)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Fullerenes is th e subject of a report. According to news reporting originating from Anhui, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “In this work, TM-N4 4 sites embedded on curved C 70 Fullerenes (TMN4(n)@C64, 4 (n)@C 64 , n = 1-5 which denote the doping positions and TM = Sc-Zn) were designed as efficien t catalysts for electrochemical CO2 2 reduction reaction (ECO2RR). 2 RR). With i nterpretable machine learning (ML) and first-principles calculations, the perfor mance of TM-N4 4 sites as possible electrocatalysts for ECO2RR 2 RR under the cu rvature effect were revealed.”

    Investigators at Dr. B.R. Ambedkar University Report Findings in Computational I ntelligence (A Review On Developments In Evolutionary Computation Approaches for Road Traffic Flow Prediction)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Computational Intelligence is the subject of a report. According to news reporting from Delhi, India, by NewsRx j ournalists, research stated, “Widespread traffic congestion significantly impact s the quality of life, posing several problems and challenges. To reduce traffic congestion, it is necessary to have accurate information about traffic flow.”Funders for this research include Council of Scientific & Industri al Research (CSIR) - India, Council of Scientific & Industrial Res earch (CSIR) - India.

    New Machine Learning Study Findings Recently Were Published by Researchers at Ky oto University (Predicting humor effectiveness of robots for human line cutting)

    74-74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 artificial intelligence is now available. According to news reporting originating from Kyoto, Japan, by NewsRx correspondents, research stated, “It is extremely challenging for securi ty guard robots to independently stop human line-cutting behavior. We propose ad dressing this issue by using humorous phrases.”

    Data from Universitas Muhammadiyah Kalimantan Timur Update Knowledge in Support Vector Machines (Analysis of FastText with Support Vector Machine for Hate Speec h Classification on Twitter Social Media)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on have been presented. According t o news reporting out of the Universitas Muhammadiyah Kalimantan Timur by NewsRx editors, research stated, “Hate speech refers to sentences or words that aim to demean or insult individuals, groups, or communities based on factors such as et hnicity, religion, race, or social class.”

    Findings from Florida State University Broaden Understanding of Machine Learning (Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Gale rkin Method for Biot’s System By Employing Machine Learning)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Tallahassee, Florida, by NewsRx journalists, research stated, “This paper uses neural networks and machine lear ning to study the optimal choice of the interior penalty parameter of the discon tinuous Galerkin finite element methods for both the elliptic problems and Biot ’ s systems. It is crucial to choose the optimal interior penalty parameter, which is not too small or too large for the stability, robustness, and efficiency of the approximated numerical solutions.”

    Investigators at Tianjin University Discuss Findings in Computational Intelligen ce (Decentralized Triggering and Event-based Integral Reinforcement Learning for Multiplayer Differential Game Systems)

    76-77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 Learn ing - Computational Intelligence have been published. According to news reportin g out of Tianjin, People’s Republic of China, by NewsRx editors, research stated , “Multiplayer differential games are typically characterized by multiple contro l loops, where communication resources are periodically transmitted and control policies are updated in a time-triggered manner. In this paper, two different ev ent-triggered mechanisms are proposed for a class of multiplayer nonzero-sum dif ferential game systems.”