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    Researchers at King Khalid University Release New Data on Machine Learning (An E dge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With .. .)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originating fromAbha, Saudi Arabia, by News Rx correspondents, research stated, “The smart grid environment, whichemphasize s sustainability, dependability, and efficiency through smart components such as IntelligentElectronic Devices (IEDs), communication networks, and control syst ems, marks a revolutionary changein the way traditional power distribution is c arried out. As smart grids grow and are integrated intoenergy distribution netw orks, these systems become more vulnerable to cybersecurity threats due to theirincreased connectivity, usage of IEDs, and reliance on digital communication ch annels.”

    Recent Findings in Robotics Described by Researchers from Donghua University (Dy namic Scenario-enhanced Diverse Human Motion Prediction Network for Proactive Hu man-robot Collaboration In Customized Assembly Tasks)

    58-59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 Robotics have been published. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Human motionprediction is crucial for facilitating human-robot collaboration in customized assembly tasks . However,existing research primarily focuses on predicting limited human motio ns using static global information,which fails to address the highly stochastic nature of customized assembly operations in a given region.”

    First Affiliated Hospital of Guangxi Medical University Reports Findingsin Arti ficial Intelligence (Development and validation of an artificial intelligence mo del for predicting de novo distant bone metastasis in breast cancer: a dual-cent er …)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews originating from Guangxi, People ’s Republic of China, by NewsRx correspondents, research stated,“Breast cancer has become the most prevalent malignant tumor in women, and the occurrence of di stantmetastasis signifies a poor prognosis. Utilizing predictive models to fore cast distant metastasis in breastcancer presents a novel approach.”

    Study Findings on Robotics Described by a Researcher at China University of Mini ng and Technology (Spatial Localization of Transformer Inspection Robot Based on Adaptive Denoising and SCOT-b Generalized Cross-Correlation)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news originatingfrom Xuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In the detectionprocess o f the internal defects of large oil-immersed transformers, due to the huge size of large transformersand metal-enclosed structures, the positional localization of miniature inspection robots inside thetransformer faces great difficulties. ”

    Study Data from University of Batna 2 Update Knowledge of Machine Learning (A ma chine learning-based selection approach for solving the single machine schedulin g problem with Early/Tardy jobs)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news originating from Batna, Algeria, by NewsRx corresponde nts, research stated, “Today, the algorithm selection paradigm has becomeone of the promising approaches in the field of optimization problems.”

    Researchers’ Work from Nanjing University of Aeronautics and AstronauticsFocuse s on Machine Learning (High-throughput Computation and Machine Learning Predicti on Accelerating the Design of Cathode Catalysts for Li-co2 Batteries)

    62-63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 th e subject of a report. According to newsreporting out of Jiangsu, People’s Repu blic of China, by NewsRx editors, research stated, “Developingnew cathode catal ysts to facilitate the electrochemical reaction toward the product of lithium ox alatewould enhance the performance of Li-CO(2 )batteries. Herein, high-throughp ut calculations and machinelearning technology were synergistically utilized to effectively screen new transition metal-based cathodecatalysts.”

    Researcher from Guangdong Ocean University Details New Studies and Findings in t he Area of Machine Learning (Investigating the Synergistic Corrosion Protection Effect of an Alloy Element and Corrosion Inhibitor on Steel Reinforcement Using …)

    63-64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 artificial intelligence is now available. According to news reportingfrom Zhanjiang, People’s Republic of China, by NewsRx journalists, research stated, “Steel reinforcementin marin e concrete structures is vulnerable to chloride-induced corrosion, which comprom ises its structuralintegrity and durability.”

    Northeast Agricultural University Reports Findings in Machine Learning (Regional quality analysis of the hydrological environment with an improved random forest model based on the chimpanzee algorithm)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting outof Harbin, People’s Republic of Chin a, by NewsRx editors, research stated, “High-precision evaluationsof water envi ronment quality are highly important for improving the accuracy of early warning systemsof regional water pollution risk and improving the regional water envir onment. This paper employs thechimp optimization algorithm (ChOA) to enhance th e traditional random forest model, resulting in thechimp optimization algorithm -random forest (ChOA-RF) water quality assessment model for evaluatingthe Jians anjiang area in Heilongjiang Province, China.”

    New Machine Learning Study Findings Recently Were Published by a Researcher at D epartment of Mathematics (Novel Statistical Regularized Extreme Learning Algorit hm to Address the Multicollinearity in Machine Learning)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news reportingoriginating from the Department of Mathematics by NewsRx correspondents, research stated, “The multicollinearityproblem is a common phenomenon in data-driven studies, significantly affecting the performanceof machine learning algorithms during the process of extracting information from data.”

    Reports Outline Machine Learning Study Findings from Wageningen University and R esearch (The rise of scientific machine learning: a perspective on combining mec hanistic modelling with machine learning for systems biology)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Wageningen, Netherlan ds, by NewsRx editors, the research stated, “Both machine learningand mechanist ic modelling approaches have been used independently with great success in syste msbiology.”