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    Findings from University of Florida Provides New Data about Machine Learning (Ti ps for Effective Machine Learning In Ndt/e)

    95-95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 originating from Gain esville, Florida, by NewsRx correspondents, research stated, “Theproliferation of machine learning (ML) advances will have long-lasting effects on the nondestr uctive testing/evaluation (NDT/E) community.”

    Studies from Lulea University of Technology Add New Findings in the Area of Mach ine Learning (Forecasting maximum formwork pressure for self-compacting concrete using ARX-Laguerre machine learning model)

    95-96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 artificial intelligence is now available. According to news reporting originating from Lulea University of Technology by NewsRx correspondents, research stated, “Forecastingthe maxim um pressure exerted by cast-in-place self-compacting concrete (SCC) is a major c oncernfor formwork designers, researchers, and site engineers to accurately des ign the bearing capacity of theformwork and control the casting rate for safe a nd fast construction. This article aims to utilize theARX-Laguerre model, which is a data-driven model to forecast the maximum form pressure.”

    Shanghai Dianji University Details Findings in Robotics (Point Cloud 3d Weldment Reconstruction and Welding Feature Extraction for Robotic Multi-bead Arc Weld C ladding Path Plaanning)

    96-97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 Ro botics. According to news reporting out ofShanghai, People’s Republic of China, by NewsRx editors, research stated, “Traditional manual teaching oroffline pro gramming welding modes may lead to long teaching time, low efficiency, and inabi lity to adaptto changing welding environments when facing complex trajectory wo rkpieces or Multi-welded workpieces.In this paper, a teaching-free welding meth od based on visual sensing system for robotic is proposed.”

    Reports on Robotics from Shanghai Jiao Tong University Provide New Insights (Too lpath Strategy Study for Improving Geometric Accuracy of Large-size Open-edge Fl anged Parts In Robot-assisted Incremental Flanging)

    97-98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 originating fromShanghai, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Incremental flanging(IF) has eme rged as a flexible and low-cost alternative to conventional stamping processes s uitable forrapidly producing multi-variety and small-batch flanged parts. Howev er, due to the material hardening aswell as large and unevenly distributed spri ngback, it is still challenging to manufacture and control theforming quality o f large-size open-edge flanged parts with a length of more than 1.0 m, a width o f morethan 100 mm and a flange height of more than 30 mm.”

    Investigators from Banasthali Vidyapith Release New Data on Boltzmann Machines [Detection of Cloned Attacks In Connecting Media Using Bernoulli Rbm_ rf Classifier (Brrc)]

    98-99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 Boltzmann Machines is n ow available. According to news reportingout of Rajasthan, India, by NewsRx edi tors, research stated, “The majority of people are using connectingmedia in rec ent times, like Facebook, Twitter, LinkedIn, etc. People like to communicate on social websitesas compared to direct conversation due to the lack of time, fast communication, minimizing long distance,etc. but more fraud such as fake accou nts, cloned attacks, etc. are generated due to growing data onsocial connecting media.”

    Researchers at School of Computing Science and Engineering Report New Data on Ma chine Learning (A Systematic Review and Applications of How Ai Evolved In Health care)

    99-100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 Tamil Nadu, India, by NewsRx correspondents, research stated, “Machine Learning (ML)is a specialized domain within the broader science of Artificial Intelligence. Machine Learning facilitatesthe acquisition of knowledge by machines through the analysis of dat a.”

    New Androids Study Results Reported from Changchun University of Technology (Dec entralized Approximated Optimal Control for Modular Robot Manipulations With Phy sical Human-robot Interaction: a Cooperative Game-based Strategy)

    100-101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 Ro botics - Androids. According to news originatingfrom Changchun, People’s Republ ic of China, by NewsRx correspondents, research stated, “Majorchallenges of con trolling physical human-robot interaction (pHRI)-oriented modular robot manipula tor(MRM) include performance optimization and solving the coupling effect betwe en the human and therobot as well as MRM subsystems. In this paper, a cooperati ve game-based decentralized optimal controlapproach is developed for MRMs with pHRI.”

    Arka Jain University Researchers Provide New Study Findings on Machine Learning (Fault Detection And Categorization Using An Advanced Machine Learning Technique For Industrial Rotational Machinery)

    101-101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 new report. According to newsreporting from Arka Jain Uni versity by NewsRx journalists, research stated, “The difficulty of fault identification as well as categorization in industrial rotating machinery is fixed by t his study, which introduces arevolutionary Dandelion Optimized CatBoost (DO-CB) technique.”

    Researchers from China Agricultural University Report Details of New Studies and Findings in the Area of Robotics (Picking Patterns Evaluation for Cherry Tomato Robotic Harvesting End-effector Design)

    102-102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 Beijing,People’s Republic of China, by News Rx journalists, research stated, “Picking cherry tomatoes is a timeconsumingan d labour-intensive task, and robots are an alternative solution to address this issue. The endeffector is a key component of the harvesting robot, and it is cr ucial for achieving automated harvestingof cherry tomatoes.”

    Reports Outline Machine Learning Study Findings from Karlsruhe Institute of Tech nology (KIT) (Generative Machine Learning Methods for Multivariate Ensemble Post processing)

    103-103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 Karlsruhe, Germany, by NewsRx j ournalists, research stated, “Ensemble weather forecasts basedon multiple runs of numerical weather prediction models typically show systematic errors and requ irepostprocessing to obtain reliable forecasts. Accurately modeling multivariat e dependencies is crucialin many practical applications, and various approaches to multivariate postprocessing have been proposedwhere ensemble predictions ar e first postprocessed separately in each margin and multivariate dependenciesar e then restored via copulas.”