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    New Machine Learning Data Have Been Reported by Investigators at Chinese Academy of Sciences (A Quad-unit Dielectric Elastomer Actuator for Programmable Two-dim ensional Trajectories)

    106-107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 reportingoriginating in Shenzhen, People’s Republ ic of China, by NewsRx journalists, research stated, “Resonantactuation and mul ti-degree-of-freedom (DoF) actuation can optimize the output matrices and greatly expand the versatility of dielectric elastomer actuators (DEAs) for practical applications. However,developing a multi-DoF resonant DEA that benefits both fr om the maximized stroke outputs in resonantactuation and the versatility in mul ti-DoF actuation remains a challenging task due to the slow responses ofthe wid ely adopted acrylic elastomers and the exponentially scaled complexity in the no nlinear dynamics.”

    Reports Outline Machine Learning Findings from North Dakota State University (No nadiabatic Dynamics In Two-dimensional Perovskites Assisted By Machine Learned F orce Fields)

    107-108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 reportingfrom Fargo, North Dakota, by NewsRx jo urnalists, research stated, “An exploration of the ‘on-the-fly’nonadiabatic cou plings (NACs) for nonradiative relaxation and recombination of excited states in 2D Dion-Jacobson (DJ) lead halide perovskites (LHPs) is accelerated by a machin e learning approach. Specifically,ab initio molecular dynamics (AIMD) of nanost ructures composed of heavy elements is performed with theuse of machine-learnin g force-fields (MLFFs), as implemented in the Vienna Ab initio Simulation Package (VASP).”

    Recent Studies from University of West Bohemia Add New Data to Machine Learning (An Intelligent Digital Twinning Approach for Complex Circuits)

    108-109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 originatingfrom Plzen, Czech Republic, by NewsRx correspondents, research stated, “The digital twinning process isessential for transferring real-world objects to the Metaverse by creating accurate digital ve rsions, knownas digital twins. However, complex systems pose challenges in this process.”

    Investigators at Zhengzhou University of Light Industry Detail Findings in Machi ne Learning (Power System Monitoring for Electrical Disturbances In Wide Network Using Machine Learning)

    109-110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 Ma chine Learning. According to news reportingfrom Henan, People’s Republic of Chi na, by NewsRx journalists, research stated, “Due to infrastructuredevelopments, wide disturbances have occurred in the power system. There is a need for intell igentmonitoring systems across wide power networks for the stability and securi ty of systems.”

    State University of Campinas (UNICAMP) Reports Findings in Artificial Intelligen ce (Determination of the pubertal growth spurt by artificial intelligence analys is of cervical vertebrae maturation in lateral cephalometric radiographs)

    110-110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 from Sao Paulo, Brazil , by NewsRx journalists, research stated, “This study aimed to assess theperfor mance of a convolutional neural network (CNN) model in detecting the pubertal gr owth spurt byanalyzing cervical vertebrae maturation (CVM) in lateral cephalome tric radiographs (LCRs). In total, 600LCRs of patients from 6 to 17 years old w ere selected.”

    Researchers from King Abdulaziz University Describe Findings in Machine Learning (Ensemble Learning-based Algorithms for Traffic Flow Prediction in Smart Traffi c Systems)

    111-112页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news reportingout of King Abdulaziz Univers ity by NewsRx editors, research stated, “Due to the tremendous growth ofroad tr affic accidents, Intelligent Transportation Systems (ITSs) are becoming even mor e important.”

    Northeast Agricultural University Reports Findings in Machine Learning (Discrimi nation and quantification of volatile compounds in beer by FTIR combined with ma chine learning approaches)

    111-111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 Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thecomposition of vol atile compounds in beer is crucial to the quality of beer. Herein, we identified 23volatile compounds, namely, 12 esters, 4 alcohols, 5 acids, and 2 phenols, i n nine different beer typesusing GC-MS.”

    New Machine Learning Study Results from Chulalongkorn University Described (Scre ening of Cu-mn-ni-zn High-entropy Alloy Catalysts for Co2 Reduction Reaction By Machine-learning-accelerated Density Functional Theory)

    112-113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 Machine Learning. According to news originatingfrom Bangkok, Thailand, by NewsR x correspondents, research stated, “High-entropy-alloy (HEA) catalystshave been used in many challenging electrocatalytic reactions, e.g., CO2 reduction reacti on (CO2RR) dueto their promising properties. For CO2RR catalysts, tuning metal compositions in Cu-based catalysts isone of the techniques to control the desir ed products.”

    Data from Hebei University of Technology Advance Knowledge in Robotics (Design a nd Optimization of the Wall Climbing Robot for Magnetic Particle Detection of Sh ip Welds)

    113-114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 reporting from Tianjin,People’s Republic of China, by News Rx journalists, research stated, “At present, numerous wall-climbingrobots have been developed, and applied in ship manufacturing for weld detection to ensure safe navigation.”

    Study Data from Chongqing Industry Polytechnic College Update Knowledge of Patte rn Recognition and Artificial Intelligence (Prldpc: a Heuristics Prototype Reduc tion Method Based On Supervised Local Density Clustering for Instance-based …)

    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 Machine Learn ing - Pattern Recognition and Artificial Intelligencehave been published. Accor ding to news reporting originating in Chongqing, People’s Republicof China, by NewsRx journalists, research stated, “The prototype reduction (PR) methods, as a n importantdata pre-processing task, can improve instance-based classifiers by removing noise and/or redundantsamples. Recently, a series of PR methods with d ifferent heuristic strategies have been developed.”