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    Studies from La Trobe University in the Area of Computational Intelligence Repor ted (Enhancing Accuracy-privacy Trade-off In Differentially Private Split Learni ng)

    106-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news originating from Melbourne, Australia, by NewsRx correspondents, research stated,“Split learnin g (SL) aims to protect user data privacy by distributing deep models between the clientserverand keeping private data locally. Only processed or ‘smashed’ dat a can be transmitted from theclients to the server during the SL process.”

    Investigators from Polytechnic University of Valencia Release New Data on Machin e Learning (Wearable Low-cost and Low-energy Consumption Gas Sensor With Machine Learning To Recognize Outdoor Areas)

    107-107页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Valencia, Spain, by NewsRx c orrespondents, research stated, “Urban air quality, impacted by humanmadepollu tion, impacts health and requires continuous monitoring. MQ sensors are the pref erred airquality sensors despite their high energy consumption due to their cos t, requiring the use machine learningto classify different types of air.”

    Research from Imperial College London Yields New Study Findings on Machine Learn ing (Application of machine learning for ‘what if?’ stress analysis)

    108-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from London, United King dom, by NewsRx journalists, research stated, “Analysis of stresses incomponents of even modestly complex geometries often require the use of finite element ana lysis (FEA).For testing a large number of design options quickly, FEA can be ti me consuming and provides moreaccuracy than required.”

    Recent Studies from Northeastern University Add New Data to Machine Learning (Fl exible Cooling Strategy for Hot-rolled Steel Based On Physical Theories Coupled With Machine Learning)

    109-109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 Machine Learn ing have been published. According to newsreporting from Liaoning, People’s Rep ublic of China, by NewsRx journalists, research stated, “Based onthe complex ch aracteristics of nonlinearity, strong coupling, and multi-disturbance in hot-rol ling steelproduction, developing a multi-objective optimization system for dyna mic control of multi-scale processparameters is challenging. In this paper, nov el solutions coupling physical mechanisms into the machinelearning modeling are proposed, and their feasibility has been fully demonstrated by analyzing experi mentalverification and industrial trial production.”

    Research from University of Electro-Communications Yields New Study Findings on Robotics (Intelligent multi-robot collaborative transport system)

    110-110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 robotic s. According to news originating from theUniversity of Electro-Communications b y NewsRx correspondents, research stated, “The research onmulti-robot systems h as been divided into various fields, such as communication, navigation, task allocation, and collaborative transport.”

    Findings from University of Lincoln Yields New Findings on Androids (Working Wit h Robots: a Job Design Perspective of Hospitality Employees’ Collaboration Inten tions With Service Robots)

    110-111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 Robotic s - Androids. According to news reportingoriginating from Lincoln, United Kingd om, by NewsRx correspondents, research stated, “As teaminghumans and robots bec omes increasingly common in hospitality organizations, it is crucial to understa nd factors that facilitate and hinder human-robot collaborations. Building upon the Job demands-resources(JD-R) theory, this research examines how service robo ts’ human likeness and job design factors affecthospitality employees’ percepti ons and collaboration intentions.”

    Researchers at Zhejiang University of Technology Target Pattern Recognition and Artificial Intelligence (Tlcsfi: a Pose-guided Person Re-identification Method W ith Two-level Channel-spatial Feature Integration)

    111-112页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Pa ttern Recognition and Artificial Intelligencehave been presented. According to news reporting from Zhejiang, People’s Republic of China, by NewsRxjournalists, research stated, “Person re-identification methods currently encounter challeng es in featurelearning, primarily due to difficulties in expressing the correlat ion between local features and integratingglobal and local features effectively . To address these issues, a pose-guided person re-identification methodwith Tw o-Level Channel-Spatial Feature Integration (TLCSFI) is proposed.”

    University of Cambridge Reports Findings in COVID-19 (Revealing SARS-CoV-2 Mpro mutation cold and hot spots: Dynamic residue network analysis meets machine lear ning)

    112-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to newsoriginating from Cambridge, Unite d Kingdom, by NewsRx correspondents, research stated, “Decipheringthe effect of evolutionary mutations of viruses and predicting future mutations is crucial fo r designing longlastingand effective drugs. While understanding the impact of current mutations on protein drug targetsis feasible, predicting future mutatio ns due to natural evolution of viruses and environmental pressuresremains chall enging.”

    New Machine Learning Study Findings Have Been Reported from ABV Indian Institute of Information Technology & Management (Machine Learning Enabled Compact Flexible Full Ground Uwb Antenna for Wearable Applications)

    113-114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 reportingfrom Gwalior, India, by NewsRx journalis ts, research stated, “This work introduces a novel compactultra-wideband (UWB) antenna designed for wearable applications, employing a bioinspired structure an dmachine learning (ML) techniques to achieve exceptional performance in the 3.1 0-10.42 GHz range. Theantenna is fabricated by positioning conductive fabric on a polydimethylsiloxane polymer of 1 mm thicknessto augment high flexibility an d durability.”

    Study Findings from Gdansk University of Technology Update Knowledge in Machine Learning (Variable resolution machine learning optimization of antennas using gl obal sensitivity analysis)

    114-115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 in telligence have been published. According to newsreporting originating from Gda nsk University of Technology by NewsRx correspondents, research stated,“The sig nificance of rigorous optimization techniques in antenna engineering has grown s ignificantly inrecent years. For many design tasks, parameter tuning must be co nducted globally, presenting a challengedue to associated computational costs.”