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    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).”

    New Findings in Machine Learning Described from Harbin Institute of Technology ( Physics-informed Machine Learning for Loading History Dependent Fatigue Delamina tion of Composite Laminates)

    183-183页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Harbin, People’s Repu blic of China, by NewsRx correspondents, research stated, “Fiberbridging has re tardation effect on Mode I fatigue delamination, making the damage loading histo rydependent. This research creates a physics-informed machine learning (ML) mod el for characterizing thisfatigue delamination propagation.”

    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.”

    Researchers from Bioproc Technology Institute Report New Studies and Findings in the Area of Machine Learning (Antibody Glycan Quality Predicted From Cho Cell C ulture Media Markers and Machine Learning)

    188-188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 Singapore, Singapore, by New sRx editors, research stated, “N-glycosylation can have a profoundeffect on the quality of mAb therapeutics. In biomanufacturing, one of the ways to influence N-glycosylationpatterns is by altering the media used to grow mAb cell expressi on systems.”Funders for this research include Agency for Science Technology & Research (A*STAR), NationalMedical Research Council, Singapore.

    Study Results from University of Surrey in the Area of Robotics Reported (Metape rception Benefits of Service Robots In Uncomfortable Service Encounters)

    189-189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 reportingfrom Guildford, United Kingdom, by NewsRx journalists, research stated, “Uncomfortable service interactionsare ubi quitous in tourism and hospitality settings (e.g., returning a dish in a restaur ant, orderingroom service late at night, and complaining about noisy others in a hotel). Across five experimental studies,we show that service robots reduce c onsumers’ metaperception processing and as a consequence canmitigate customer d iscomfort.”

    Researcher at University of the Punjab Publishes Research in Artificial Intellig ence (Exploring the Role of Artificial Intelligence in Enhancing Teachers’ Compe tencies: A Comprehensive Review)

    189-190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 Punjab, Pakistan, by NewsRx correspondents, research stated, “This study wasconducted to explore the role of Artificial Intelligence in enhancing the teachers’ compet encies.”

    Data on Machine Learning Described by Researchers at Chang’an University (Unlock ing the Potential of Unlabeled Data: Selfsupervised Machine Learning for Batter y Aging Diagnosis With Real-world Field Data)

    190-191页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Shaanxi, Peopl e’s Republic of China, by NewsRx editors, research stated, “Accurateaging diagn osis is crucial for the health and safety management of lithium-ion batteries in electric vehicles.Despite significant advancements achieved by data-driven met hods, diagnosis accuracy remains constrainedby the high costs of check-up tests and the scarcity of labeled data.”