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    Findings from Federal Institute for Occupational Safety and Health Update Unders tanding of Robotics (Working Conditions of Industrial Robot Operators-an Overvie w of Technology Dissemination, Job Characteristics, and Health Indicators In Mod ern ...)

    112-112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 reportingout of Dortmund, Germany, by NewsRx editors, research stated, “Flexible robotic systems change not onlythe product ion workflow as a whole but also the individual working conditions of their oper ators. The aimof this analysis of our study with more than 5900 participants wa s to get an overview of demographics,job characteristics, and health indicators of robot operators in comparison to nonrobotic machine operatorsand employees in Germany.”

    Researcher at Ningbo University of Technology Publishes Research in Machine Lear ning (A Review of Concrete Carbonation Depth Evaluation Models)

    113-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting from Ningbo,People’s Republic of China, by N ewsRx journalists, research stated, “Carbonation is one of the criticalissues a ffecting the durability of reinforced concrete. Evaluating the depth of concrete carbonation is ofgreat significance for ensuring the quality and safety of con struction projects.”

    Reports Outline Machine Learning Study Results from China Agricultural Universit y (Rapid Evaluation of Drought Tolerance of Winter Wheat Cultivars Under Water-d eficit Conditions Using Multicriteria Comprehensive Evaluation Based On Uav ... )

    114-115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 reportingout of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “Unmanned aerial vehicle(UAV) mult ispectral and thermal images, combined with machine learning models, have been w idelyused for high-throughput phenotyping of crop traits and have great potenti al for evaluating the droughttolerance of winter wheat cultivars. In order to e xtract the wheat canopy information from UAV images,noise removal is an essenti al step.”

    Henan University Reports Findings in Machine Learning (Exploring negative therma l expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning)

    115-116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 from Kaifeng, People’s Republ ic of China, by NewsRx journalists, research stated, “Discoveringnew negative t hermal expansion (NTE) materials is a great challenge in experiment. Meanwhile, themachine learning (ML) method can be another approach to explore NTE material s using the existingmaterial databases.”

    Research on Machine Learning Published by a Researcher at Natural Resources Cana da (Machine-Learning Analysis of the Canadian Royalties Grinding Circuit)

    116-117页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Ottawa, Canada, by NewsRx editors, the research stated, “This work aimed tounderstand the relationships between grinding variables and the P80 (80% pass ing size) of a grindingcircuit (feed to flotation).”Our news journalists obtained a quote from the research from Natural Resources C anada: “CanadianRoyalties want to obtain and reduce variations in the P80, whic h is currently 65 micrometres. Thus,principal component analysis (PCA), part of machine learning, was utilized to better understand the factorsthat significan tly influence the P80. PCA is meant to be used as a guideline for plant metallur gists todetermine how the grinding circuit factors influence P80; thus, the var iables can be manipulated to lowerP80 fluctuations. PCA revealed that the head grade of the ore (pentlandite (Pn), chalcopyrite (Cp),pyrrhotite (Po) and non-s ulphide gangue (NSG)) and the primary ball mill power were weakly correlatedwit h P80.”

    Researchers at Shenzhen University Target Machine Learning (Grid Search With a W eighted Error Function: Hyper-parameter Optimization for Financial Time Series F orecasting)

    117-118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 originating in Shenzhen, Peop le’s Republic of China, by NewsRx journalists, research stated,“Financial time series forecasting is a difficult task due to the complexity and volatility of f inancialmarkets. Machine learning models have been applied to tackle this task, but finding their optimal hyper-parameters with less time and ensuring the pre diction accuracy of models are still significant challenges.”Funders for this research include Foundation for Key Program of Ministry of Scie nce and Technology ofChina, National Office of Philosophy and Social Sciences, Ministry of Education of Humanities and SocialScience Project, Fundamental Rese arch Funds for the Central Universities.

    New Robotics Study Results from University of Texas Austin Described (Safe Netwo rked Robotics With Probabilistic Verification)

    118-118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 report. According to news reporting outof Austin, Texas, by NewsRx edito rs, research stated, “Autonomous robots must utilize rich sensory datato make s afe control decisions. To process this data, compute-constrained robots often re quire assistancefrom remote computation, or the cloud, that runs compute-intens ive deep neural network perception orcontrol models.”Financial support for this research came from Lockheed Martin Corporation, ONR.

    Yanshan University Reports Findings in Artificial Intelligence (A novel activati on function based on DNA enzyme-free hybridization reaction and its implementati on on nonlinear molecular learning systems)

    119-120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 to newsreporting originating in Qinhuan gdao, People’s Republic of China, by NewsRx editors, the research stated,“With the advent of the post-Moore’s Law era, the development of traditional silicon-b ased computers hasreached its limit, and there is an urgent need to develop new computing technologies to meet the needs ofscience, technology, and daily life . Due to its super-strong parallel computing capability and outstandingdata sto rage capacity, DNA computing has become an important branch and hot research top ic of newcomputer technology.”

    Researchers from University of Bari ‘Aldo Moro’ Report Findings in Amyotrophic L ateral Sclerosis (Machine Learning-based Radiomics for Amyotrophic Lateral Scler osis Diagnosis)

    120-121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 Neurodegenera tive Diseases and Conditions - AmyotrophicLateral Sclerosis have been published . According to news reporting from Bari, Italy, by NewsRx journalists,research stated, “Timely diagnosis and accurate phenotyping of amyotrophic lateral sclero sis (ALS) is ofparamount importance for the clinical management of patients. Ma gnetic Resonance Imaging (MRI) playsa key role in the clinical work-up of ALS.”

    University of Health Sciences Reports Findings in Artificial Intelligence (Mo-fi -disc scoring system: Towards understanding the radiological tools to better del ineate the disease process and enhancing our solutions for low back pain in ...)

    121-122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 to newsreporting out of Istanbul, Turke y, by NewsRx editors, research stated, “Mo-fi-disc’ is a new scoring systemthat quantifies degeneration of the lumbar spine and predicts the intensity of low b ack pain (LBP).However, its association with LBP-related disability is unknown. ”