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    Research Conducted at Tallinn University Has Provided New Information about Robo tics (Testing Scenarios for Using Telepresence Robots In Healthcare Settings)

    176-176页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting out of Tallinn, Estonia, by N ewsRx editors, research stated, “The ageing global population putsheavy pressur e on healthcare systems everywhere. Addressing ageing-related chronic conditions requiresemployment of novel innovative solutions.”

    New Findings from Southwest Jiaotong University in the Area of Boltzmann Machine s Described (Self-supervised Gaussian Restricted Boltzmann Machine Via Joint Con trastive Representation and Contrastive Divergence)

    178-179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 Bo ltzmann Machines. According to news reportingoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Inthis paper, w e propose a novel self-supervised Gaussian Restricted Boltzmann Machine with con trastivelearning (CL-GRBM), which fuses contrastive representation learning and contrastive divergence to optimizeand enhance the representation of GRBM. Buil t upon the concept of contrastive representation learning,CL-GRBM aims to enhan ce the representation capacity of the GRBM.”

    Shanghai Sixth People’s Hospital Reports Findings in Bioinformatics (Development and validation of preeclampsia predictive models using key genes from bioinform atics and machine learning approaches)

    179-180页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting originating fro m Shanghai, People’s Republic of China, by NewsRx correspondents,research state d, “Preeclampsia (PE) poses significant diagnostic and therapeutic challenges. T his studyaims to identify novel genes for potential diagnostic and therapeutic targets, illuminating the immunemechanisms involved.”

    Data from Chang’an University Advance Knowledge in Robotics (Vision-guided Robot for Automated Pixel-level Pavement Crack Sealing)

    180-180页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting originatingin Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Automated pavement cracksealing plays a crucial role in road maintenance. However, challenges remain in refinin g crack segmentationand sealing control accuracy.”

    Miguel Hernandez University of Elche Reports Findings in Support Vector Machines (Redesigning a Nsga-ii Metaheuristic for the Biobjective Support Vector Machin e With Feature Selection)

    181-181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 Support Vecto r Machines have been published. According tonews reporting from Elche, Spain, b y NewsRx editors, the research stated, “The Support Vector Machineis a well-kno wn technique used in supervised classification. Feature selection offers several benefits butalso adds complexity to the problem.”

    Studies from University of Tenaga Nas Have Provided New Information about Machin e Learning (Navigating Challenges and Opportunities of Machine Learning Inhydrog en Catalysis and Production Processes: Beyond Algorithmdevelopment)

    182-182页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting outof Selangor, Malaysia, by NewsRx e ditors, research stated, “With the projected global surge in hydrogendemand, dr iven by increasing applications and the impera-tive for low-emission hydrogen, t he integration ofmachine learning (ML) across the hydrogen energyvalue chain is a compelling avenue. This review uniquelyfocuses on harnessing the synergy bet weenML and computational modeling (CM) or optimization tools,as well as integra ting multiple ML tech-niques with CM, for the synthesis of diverse hydrogen evol utionreaction (HER) catalysts and varioushydrogen production processes (HPPs).”

    Studies from Ecole de Technologie Superieure Describe New Findings in Robotics ( Positioning Performance of a Hexapod Machining Cell Under Machining and Nonmachi ning Operations)

    184-184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 Robotics. According to news reporting fromMontreal, Canada, by NewsRx journalis ts, research stated, “Robotic machining is becoming increasinglypopular in mode rn manufacturing owing to its cost and flexibility advantages. Compared with ser ialrobots, a hexapod-based industrial robotic work cell has a much smaller foot print for equivalent rigidity.”Financial supporters for this research include Fonds de recherche du Quebec - Na ture et technologies(FRQNT), Natural Sciences and Engineering Research Council of Canada (NSERC).

    Findings from University of Science and Technology China Yields New Findings on Robotics and Automation (Edgecalib: Multi-frame Weighted Edge Features for Autom atic Targetless Lidar-camera Calibration)

    185-185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 Robotics - Robotics and Automation. Accordingto news reporting originating in H efei, People’s Republic of China, by NewsRx journalists, research stated,“In mu ltimodal perception systems, achieving precise extrinsic calibration between LiD AR and camerais of critical importance. However, the pre-calibrated extrinsic p arameters may gradually drift duringoperation, leading to a decrease in the acc uracy of the perception system.”

    Research Conducted at University of Science and Technology Beijing Has Updated O ur Knowledge about Machine Learning (Research On Mechanical Properties and Mix P roportion Design of Solid Waste-based Cemented Paste Backfill)

    186-186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 in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Solid waste fi lling is an important development direction for filling mining. This research pr oposes thepreparation of solid waste-based cemented paste backfill (SWCPB) to f ill the underground mined areaby using waste rock and copper slag as the mixed aggregate and granulated blast furnace slag, steel slag,and desulfurization gyp sum as raw materials of solid waste binder to reduce the environmental hazards caused by the industrial solid wastes.”

    Findings from Zhejiang University Yields New Data on Machine Learning (Design an d Shape Control of Robotic Morphing Interface With Reprogrammable Stiffness Base d On Machine Learning)

    187-187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 reporting outof Hangzhou, People’s Republic of Ch ina, by NewsRx editors, research stated, “Deformable organisms innature inspire the design of shape-shifting robots, including soft robots, bionic robots and p hysical humanrobotinterfaces. However, to achieve multi-objective shape imitat ion and multi-form transformation,shape-shifting robots often require complex a ctuation systems, control strategies, and inverse designalgorithms.”