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    New Machine Learning Data Have Been Reported by Investigators at Huazhong Univer sity of Science and Technology (Free Vibration Behaviour of Bio-inspired Helicoi dal Laminated Composite Panels of Revolution Under Thermal Conditions: Multi-out put ...)

    6-6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 originating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated,“The present work aims to study the free vibration behaviour of bio-inspired helicoidal laminated composite spherical, toroid, and conical shell panels using a single-output Support Vector Machine (SVM)algorithm trained in the chassis of parabolic shear deforma tion theory under thermal conditions. Differenthelicoidal lamination schemes ar e adopted, such as Fibonacci, semi-circular, exponential, recursive, andlinear helicoidal schemes.”

    New Machine Learning Data Have Been Reported by Investigators at Huazhong Univer sity of Science and Technology (Free Vibration Behaviour of Bio-inspired Helicoi dal Laminated Composite Panels of Revolution Under Thermal Conditions: Multi-out put ...)

    6-6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 originating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated,“The present work aims to study the free vibration behaviour of bio-inspired helicoidal laminated composite spherical, toroid, and conical shell panels using a single-output Support Vector Machine (SVM)algorithm trained in the chassis of parabolic shear deforma tion theory under thermal conditions. Differenthelicoidal lamination schemes ar e adopted, such as Fibonacci, semi-circular, exponential, recursive, andlinear helicoidal schemes.”

    Data on Machine Learning Described by Researchers at IE University (Shifts In Na tional Entrepreneurial Culture: the Promise of Linguistic Cultural Artifacts and Machine Learning Analysis)

    7-7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. Accordingto news reporting from Madrid, Spain, b y NewsRx journalists, research stated, “Research SummaryWedevelop a dynamic vie w of national entrepreneurial culture by examining the linguistic evolution of media-produced cultural artifacts-entrepreneurship-related newspaper articles. Ap plying machine learningto 690,088 articles from 103 newspapers across the Unite d States between 1996 and 2016, we identify agrowing positivity bias toward ent repreneurship at the national level evidenced by rising emotional toneand decli ning analytical thinking.”

    Data on Machine Learning Described by Researchers at IE University (Shifts In Na tional Entrepreneurial Culture: the Promise of Linguistic Cultural Artifacts and Machine Learning Analysis)

    7-7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. Accordingto news reporting from Madrid, Spain, b y NewsRx journalists, research stated, “Research SummaryWedevelop a dynamic vie w of national entrepreneurial culture by examining the linguistic evolution of media-produced cultural artifacts-entrepreneurship-related newspaper articles. Ap plying machine learningto 690,088 articles from 103 newspapers across the Unite d States between 1996 and 2016, we identify agrowing positivity bias toward ent repreneurship at the national level evidenced by rising emotional toneand decli ning analytical thinking.”

    New Machine Learning Findings from University of Lincoln Outlined (Candoit: Caus al Discovery With Observational and Interventional Data From Time Series)

    8-9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 Lincoln, United Kingdom, by NewsRx correspondents, research stated, “The study of cause and effectis of the utmost importance in many branches of science, but also for many practical appl ications of intelligent systems. In particular, identifying causal relationships in situations that include hidden factorsis a major challenge for methods that rely solely on observational data for building causal models.”

    New Machine Learning Findings from University of Lincoln Outlined (Candoit: Caus al Discovery With Observational and Interventional Data From Time Series)

    8-9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 Lincoln, United Kingdom, by NewsRx correspondents, research stated, “The study of cause and effectis of the utmost importance in many branches of science, but also for many practical appl ications of intelligent systems. In particular, identifying causal relationships in situations that include hidden factorsis a major challenge for methods that rely solely on observational data for building causal models.”

    Reports from KTH Royal Institute of Technology Add New Data to Findings in Fatig ue (Unsupervised Machine Learning for Local Stress Identification In Fatigue Ana lysis of Welded Joints)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Fatigue is the subject of a report. According to news reportingoriginating in Stockholm, Sweden, by N ewsRx journalists, research stated, “In the underlying study,a method has been proposed to automatically extract finite element (FE) peak stresses of welded components to alleviate human errors and increase the calculation accuracy. The ap proach is based onthe K-means and DBSCAN (density-based spatial clustering of a pplications with noise) methods as theunsupervised machine learning approaches. ”

    Reports from KTH Royal Institute of Technology Add New Data to Findings in Fatig ue (Unsupervised Machine Learning for Local Stress Identification In Fatigue Ana lysis of Welded Joints)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Fatigue is the subject of a report. According to news reportingoriginating in Stockholm, Sweden, by N ewsRx journalists, research stated, “In the underlying study,a method has been proposed to automatically extract finite element (FE) peak stresses of welded components to alleviate human errors and increase the calculation accuracy. The ap proach is based onthe K-means and DBSCAN (density-based spatial clustering of a pplications with noise) methods as theunsupervised machine learning approaches. ”

    Study Data from University of Birmingham Update Understanding of Robotics (Robot ic Disassembly of Electric Vehicle Batteries: Technologies and Opportunities)

    9-10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 originatingfrom Birmingham, United Kingdom, by NewsRx correspondents, research stated, “The demand for electricvehicle (EV) battery services, such as repair, remanufacturing, and recycling, is rising as more EVs enterthe market. Disassembly is an essential step in these services, b ut it is usually done manually, which isslow and costly.”

    Study Data from University of Birmingham Update Understanding of Robotics (Robot ic Disassembly of Electric Vehicle Batteries: Technologies and Opportunities)

    9-10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 originatingfrom Birmingham, United Kingdom, by NewsRx correspondents, research stated, “The demand for electricvehicle (EV) battery services, such as repair, remanufacturing, and recycling, is rising as more EVs enterthe market. Disassembly is an essential step in these services, b ut it is usually done manually, which isslow and costly.”