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.”

    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.”

    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.”

    University College London (UCL) Reports Findings in Machine Learning (Optimisati on led energy-efficient arsenite and arsenate adsorption on various materials wi th machine learning)

    102-102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 newsreporting originating in London, United Kingdom, by NewsRx journalists, research stated, “The contaminationof water by arsenic (As) poses a substantial environmental challenge with far-reaching infl uenceon human health. Accurately predicting adsorption capacities of arsenite ( As(Ⅲ)) and arsenate (As(Ⅴ))on different materials is crucial for the remediat ion and reuse of contaminated water.”

    Studies from School of Economics and Management Have Provided New Data on Roboti cs (Non-holonomic constraints-based adaptive trajectory tracking controller for a multi-joint snake robot)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been pr esented. According to news originating fromShanghai, People’s Republic of China , by NewsRx correspondents, research stated, “The multi-joint snakerobot is poi sed to become a crucial asset for investigation, surveillance, and attack in nat ional defenseand military applications.”

    Prince of Songkla University Researcher Targets Machine Learning (Enhanced Featu re Selection via Hierarchical Concept Modeling)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om Pattani, Thailand, by NewsRx correspondents, research stated, “Theobjectives of feature selection include simplifying modeling and making the results more u nderstandable,improving data mining efficiency, and providing clean and underst andable data preparation.”Financial supporters for this research include National Science, Research And In novation Fund (Nsrf)And Prince of Songkla University.

    Researcher from University of Hong Kong Details Findings in Machine Learning (Op timal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detec tion)

    104-105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 reportingfrom the University of Hong K ong by NewsRx journalists, research stated, “Windshear is a microscalemeteorolo gical phenomenon that can be dangerous to aircraft during the take-off and landi ng phases.”Financial supporters for this research include Hkrgc Grf; Hkrgc Crf; Joint Nsfc And Rgc.

    Sun Yat-sen University Reports Findings in Disseminated Intravascular Coagulatio n (Machine learning models can predict cancerassociated disseminated intravascu lar coagulation in critically ill colorectal cancer patients)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Hematologic Diseases a nd Conditions - Disseminated IntravascularCoagulation is the subject of a repor t. According to news reporting originating in Guangzhou, People’s Republicof Ch ina, by NewsRx journalists, research stated, “Due to its complex pathogenesis, t he assessmentof cancer-associated disseminated intravascular coagulation (DIC) is challenging. We aimed to develop amachine learning (ML) model to predict ove rt DIC in critically ill colorectal cancer (CRC) patients usingclinical feature s and laboratory indicators.”