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    New Findings from East-West University Describe Advances in Machine Learning (Wh at Drives Users To Recommend Mobile Fitness Apps? a Three-stage Analysis Using P ls-sem, Machine Learning, and Fsqca)

    15-15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 Dhaka, Bangladesh, by NewsR x correspondents, research stated, “In response to the growing demandfor studie s into recommendation behaviour for mobile fitness apps, this study identified k ey drivers ofusers’ recommendation intentions through a comprehensive three-sta ge analysis incorporating PLS-SEM,machine learning, and fsQCA. The PLS-SEM anal ysis revealed that perceived task facilitation, experientialgratification, and fitness stratification enhanced flow state, while perceived operational facilita tion did not.”

    New Findings from East-West University Describe Advances in Machine Learning (Wh at Drives Users To Recommend Mobile Fitness Apps? a Three-stage Analysis Using P ls-sem, Machine Learning, and Fsqca)

    15-15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 Dhaka, Bangladesh, by NewsR x correspondents, research stated, “In response to the growing demandfor studie s into recommendation behaviour for mobile fitness apps, this study identified k ey drivers ofusers’ recommendation intentions through a comprehensive three-sta ge analysis incorporating PLS-SEM,machine learning, and fsQCA. The PLS-SEM anal ysis revealed that perceived task facilitation, experientialgratification, and fitness stratification enhanced flow state, while perceived operational facilita tion did not.”

    Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)

    16-16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 to newsreporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, research stated,“Petroleum hydrocarbons (PH) contaminated soil has become a long-standing problem. By empl oyingmicroorganisms, plants, or microbial enzymes, bioremediation has the poten tial to detoxify and removecontaminants from soil and water environments.”

    Study Findings from Hebei University of Technology Broaden Understanding of Mach ine Learning (Prediction of Optimal Bioremediation Conditions for Petroleum Hydr ocarbon Contaminated Soil By Automated Machine Learning-based Analysis)

    16-16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 to newsreporting originating from Tianjin, P eople’s Republic of China, by NewsRx correspondents, research stated,“Petroleum hydrocarbons (PH) contaminated soil has become a long-standing problem. By empl oyingmicroorganisms, plants, or microbial enzymes, bioremediation has the poten tial to detoxify and removecontaminants from soil and water environments.”

    Recent Studies from Dalian University of Technology Add New Data to Machine Lear ning (Machine Learning-based Precise Monitoring of Aluminium-magnesium Alloy Dus t)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting from Dalian,People’s Republic of China, by NewsRx journalists, research stated, “Al-Mg alloys are widely used inindustrial produc tion, which can lead to occupational health issues and explosion hazards. The st udyfocuses on applying a machine learning-enhanced Kalman filtering algorithm t o detect the concentration ofAl-Mg alloy dust, significantly reducing dust haza rds and constructing an efficient and safe dust reductionand removal system.”

    Recent Studies from Dalian University of Technology Add New Data to Machine Lear ning (Machine Learning-based Precise Monitoring of Aluminium-magnesium Alloy Dus t)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting from Dalian,People’s Republic of China, by NewsRx journalists, research stated, “Al-Mg alloys are widely used inindustrial produc tion, which can lead to occupational health issues and explosion hazards. The st udyfocuses on applying a machine learning-enhanced Kalman filtering algorithm t o detect the concentration ofAl-Mg alloy dust, significantly reducing dust haza rds and constructing an efficient and safe dust reductionand removal system.”

    New Artificial Intelligence Findings from University 'G. d’Annunzio' Chieti-Pesc ara Published (Revolutionizing the construction industry by cutting edge artific ial intelligence approaches: a review)

    18-19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 ar tificial intelligence. According to news reportingoriginating from Pescara, Ita ly, by NewsRx correspondents, research stated, “The construction industry israp idly adopting Industry 4.0 technologies, creating new opportunities to address p ersistent environmentaland operational challenges. This review focuses on how A rtificial Intelligence (AI), Machine Learning (ML),and Deep Learning (DL) are b eing leveraged to tackle these issues.”

    New Artificial Intelligence Findings from University 'G. d’Annunzio' Chieti-Pesc ara Published (Revolutionizing the construction industry by cutting edge artific ial intelligence approaches: a review)

    18-19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 ar tificial intelligence. According to news reportingoriginating from Pescara, Ita ly, by NewsRx correspondents, research stated, “The construction industry israp idly adopting Industry 4.0 technologies, creating new opportunities to address p ersistent environmentaland operational challenges. This review focuses on how A rtificial Intelligence (AI), Machine Learning (ML),and Deep Learning (DL) are b eing leveraged to tackle these issues.”

    Southwest University Researchers Publish New Data on Robotics (Improved RRT* Pat h-Planning Algorithm Based on the Clothoid Curve for a Mobile Robot Under Kinema tic Constraints)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news originating from Chongqing, People’sRepublic of China, by NewsRx corr espondents, research stated, “In this paper, we propose an algorithmbased on th e Rapidly-exploring Random Trees* (RRT*) algorithm for the path planning of mobi le robotsunder kinematic constraints, aiming to generate efficient and smooth p aths quickly.”

    Southwest University Researchers Publish New Data on Robotics (Improved RRT* Pat h-Planning Algorithm Based on the Clothoid Curve for a Mobile Robot Under Kinema tic Constraints)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news originating from Chongqing, People’sRepublic of China, by NewsRx corr espondents, research stated, “In this paper, we propose an algorithmbased on th e Rapidly-exploring Random Trees* (RRT*) algorithm for the path planning of mobi le robotsunder kinematic constraints, aiming to generate efficient and smooth p aths quickly.”