首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Fuzhou University Reports Findings in Machine Learning (Assessment of urban floo d susceptibility based on a novel integrated machine learning method)

    97-98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 news reportingfrom Fuzhou, People’s Republi c of China, by NewsRx journalists, research stated, “Flood susceptibilityassess ment is the premise and foundation to prevent flood disaster events effectively. To accurately assessurban flood susceptibility (UFS), this study first analyze s the advantages and disadvantages of multilayerperceptron (MLP), and light gr adient boosting machine (LightGBM), and designs a new integratedmachine learnin g method by combining logistic regression (LR) method, i.e., LG-MLP-LR.”

    Fuzhou University Reports Findings in Machine Learning (Assessment of urban floo d susceptibility based on a novel integrated machine learning method)

    97-98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 news reportingfrom Fuzhou, People’s Republi c of China, by NewsRx journalists, research stated, “Flood susceptibilityassess ment is the premise and foundation to prevent flood disaster events effectively. To accurately assessurban flood susceptibility (UFS), this study first analyze s the advantages and disadvantages of multilayerperceptron (MLP), and light gr adient boosting machine (LightGBM), and designs a new integratedmachine learnin g method by combining logistic regression (LR) method, i.e., LG-MLP-LR.”

    Research from Khulna University Yields New Data on Machine Learning (A comparati ve study of machine learning models for predicting Aman rice yields in Banglades h)

    98-99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 artificial in telligence have been published. According to newsoriginating from Khulna Univer sity by NewsRx editors, the research stated, “Aman rice, a major staple cropin Bangladesh, is cultivated during the monsoon season and is highly dependent on c limatic conditionssuch as rainfall and temperature. This study aims to identify the most effective machine learning modelsfor predicting Aman rice yields by l everaging 52 years of historical data (1970-2022).”

    Research from Khulna University Yields New Data on Machine Learning (A comparati ve study of machine learning models for predicting Aman rice yields in Banglades h)

    98-99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 artificial in telligence have been published. According to newsoriginating from Khulna Univer sity by NewsRx editors, the research stated, “Aman rice, a major staple cropin Bangladesh, is cultivated during the monsoon season and is highly dependent on c limatic conditionssuch as rainfall and temperature. This study aims to identify the most effective machine learning modelsfor predicting Aman rice yields by l everaging 52 years of historical data (1970-2022).”

    Recent Findings from Soochow University Highlight Research in Machine Learning ( Full information of system properties inferred from individual particle dynamics )

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Soochow University by NewsRx editors, the research stated, “Using the machine learningmethod, the sc reening parameter k and the coupling parameter G of two-dimensional (2D) dusty p lasmaare determined simultaneously purely from position fluctuations of individ ual particles using both simulationand experiment data.”

    Recent Findings from Soochow University Highlight Research in Machine Learning ( Full information of system properties inferred from individual particle dynamics )

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Soochow University by NewsRx editors, the research stated, “Using the machine learningmethod, the sc reening parameter k and the coupling parameter G of two-dimensional (2D) dusty p lasmaare determined simultaneously purely from position fluctuations of individ ual particles using both simulationand experiment data.”

    Findings on Machine Learning Discussed by Investigators at Indian Institute of S cience (Synergistic Approach: Peridynamics and Machine Learning Regression for E fficient Pitting Corrosion Simulation)

    100-101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 news reportingoriginating from Bangalore, India, by NewsRx correspondents, research stated, “Corrosion-inducedmaterial de terioration poses a pervasive threat to structural integrity, necessitating an i ndepth understandingof its intricate behaviors. Pitting corrosion, a critical c oncern in this context, accelerates thedegradation of materials.”

    Findings on Machine Learning Discussed by Investigators at Indian Institute of S cience (Synergistic Approach: Peridynamics and Machine Learning Regression for E fficient Pitting Corrosion Simulation)

    100-101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 news reportingoriginating from Bangalore, India, by NewsRx correspondents, research stated, “Corrosion-inducedmaterial de terioration poses a pervasive threat to structural integrity, necessitating an i ndepth understandingof its intricate behaviors. Pitting corrosion, a critical c oncern in this context, accelerates thedegradation of materials.”

    King Abdulaziz University Researcher Publishes New Studies and Findings in the A rea of Machine Learning (Classifying software security requirements into confide ntiality, integrity, and availability using machine learning approaches)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting from Jeddah, Saudi Arabia, b y NewsRx journalists, research stated, “Security requirements areconsidered one of the most important non-functional requirements of software.”

    King Abdulaziz University Researcher Publishes New Studies and Findings in the A rea of Machine Learning (Classifying software security requirements into confide ntiality, integrity, and availability using machine learning approaches)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting from Jeddah, Saudi Arabia, b y NewsRx journalists, research stated, “Security requirements areconsidered one of the most important non-functional requirements of software.”