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    Study Results from Louisiana State University Provide New Insights into Machine Learning (A Machine Learning-based Framework for Predicting Pavement Roughness a nd Aggregate Segregation During Construction)

    117-117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 out of Baton Rouge, Louisia na, by NewsRx editors, research stated, “Pavement constructionmonitoring and qu ality assurance (QA) practices are based mostly on costly, discrete, and destruc tivemethods. Most quality assurance programs are based on pavement construction procedures encompassingin situ coring for layer thickness determination, densi ty measurements, laboratory testing to measurevolumetric properties, and smooth ness measurements in the case of the availability of an inertial profiler.”Funders for this research include Transportation Consortium of South-Central Sta tes, Barry Moore ofthe Louisiana Department of Transportation and Development.

    Studies from University of California in the Area of Neural Computation Publishe d (Top-Down Priors Disambiguate Target and Distractor Features in Simulated Cove rt Visual Search)

    118-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on neural computation ha ve been presented. According to news reportingoriginating from the University o f California by NewsRx correspondents, research stated, “Several modelsof visua l search consider visual attention as part of a perceptual inference process, in which top-downpriors disambiguate bottom-up sensory information.”

    Recent Findings from Beihang University Highlight Research in Machine Learning ( Interpretable machine learning for materials discovery: Predicting CO2 adsorptio n properties of metal-organic frameworks)

    119-119页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Metalorganic frameworks (MOFs), as novel porous crystalline materials with high porosity and a large specificsurface area, have been increasingly utilized for CO2 adso rption.”

    Findings from University of Porto in the Area of Machine Learning Reported (Mach ine Learning Data Market Based On Multiagent Systems)

    120-120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 tonews reporting originating from Porto, Por tugal, by NewsRx correspondents, research stated, “Today,autonomous agents, the Internet of Things, and smart devices produce more and more distributed dataan d use them to learn models for different purposes. One challenge is that learnin g from local data onlymay lead to suboptimal models.”

    New Machine Learning Findings from Sun Yat-sen University Described (Mechanistic Investigation and Machine Learning Exploration of Structure-activity Relationsh ip of Nhc-mn Catalyzed Ester Hydrosilylation Reaction)

    121-121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 Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimsto deeply investigate the mechanism of NHC-Mn catalyzed ester hydrosilylation reaction an d the impactof different ligands on reaction activity through the comprehensive application of DFT calculations andmachine learning technologies. We initially proposed four possible reaction mechanisms including tworadical mechanisms and two 2e mechanisms.”

    Southwest University of Science and Technology Reports Findings in Robotics (Rad ioactive sources search method based on multi-robot and Voronoi partition)

    122-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromMianyang, People’s Republic of C hina, by NewsRx journalists, research stated, “In this paper, it is proposedto locate multiple unknown radioactive sources within a certain time limit through particle filtering andVoronoi partitioning. Firstly, with each robot as a Voron oi centroid, the entire area is partitioned.”

    Pennsylvania State University (Penn State) Reports Findings in Machine Learning (Identification of footstrike pattern using accelerometry and machine learning)

    122-123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 newsoriginating from Reading, Pennsylvania, by NewsRx correspondents, research stated, “Recent reports havesuggested that there may be a relationship between footstrike pattern and overuse injury incide nce andtype. With the recent increase in wearable sensors, it is important to i dentify paradigms where thefootstrike pattern can be detected in real-time from minimal data.”

    New Machine Learning Findings from Nanning Normal University Described (Integrat ion of Machine Learning and Remote Sensing for Above Ground Biomass Estimation T hrough Landsat-9 and Field Data In Temperate Forests of the Himalayan Region)

    123-124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 out of Nanning, People’s Re public of China, by NewsRx editors, research stated, “Accuratelyestimating abov eground biomass (AGB) in forest ecosystems facilitates efficient resource manage ment,carbon accounting, and conservation efforts. This study examines the relat ionship between predictors fromLandsat-9 remote sensing data and several topogr aphical features.”

    Xinjiang University Researcher Publishes New Study Findings on Robotics (Impact of Industrial Robots on Labor Income Share: Empirical Evidence from Chinese A-Li sted Companies)

    125-125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 reportingoriginating from Urumqi, People’s Republic of China, by NewsRx correspondents, research stated, “Basedon data fr om the International Federation of Robotics (IFR) and Chinese A-Share Listed Com panies2011-2019, this paper evaluates how the penetration of industrial robots in China affects the labor incomeshare from both theoretical and empirical pers pectives.”

    Findings from Changsha University of Science and Technology Provides New Data ab out Support Vector Machines (Sparse and Robust Support Vector Machine With Capped Squared Loss for Largescale Pattern Classification)

    126-126页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Su pport Vector Machines. According to newsreporting from Changsha, People’s Repub lic of China, by NewsRx journalists, research stated, “Supportvector machine (S VM), being considered one of the most efficient tools for classification, has re ceivedwidespread attention in various fields. However, its performance is hinde red when dealing with large-scalepattern classification tasks due to high memor y requirements and running very slow.”