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    Research in the Area of Machine Learning Reported from Ferdowsi University of Ma shhad (Machine Learning-Based Predictions of Metal and Non-Metal Elements in Eng ine Oil Using Electrical Properties)

    115-116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 reportingoriginating from Mashhad, Iran, b y NewsRx correspondents, research stated, “This study investigates theinfluence of six metallic and non-metallic elements (Fe, Cr, Pb, Cu, Al, Si) on the quali ty of engine oil undernormal, cautious, and critical conditions. To achieve thi s, the research employs the Design of Experiments(DoE) approach, specifically t he Box-Behnken Design (BBD) method, for designing experiments.”Funders for this research include Ferdowsi University of Mashhad.

    Research in the Area of Machine Learning Reported from Ferdowsi University of Ma shhad (Machine Learning-Based Predictions of Metal and Non-Metal Elements in Eng ine Oil Using Electrical Properties)

    115-116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 reportingoriginating from Mashhad, Iran, b y NewsRx correspondents, research stated, “This study investigates theinfluence of six metallic and non-metallic elements (Fe, Cr, Pb, Cu, Al, Si) on the quali ty of engine oil undernormal, cautious, and critical conditions. To achieve thi s, the research employs the Design of Experiments(DoE) approach, specifically t he Box-Behnken Design (BBD) method, for designing experiments.”Funders for this research include Ferdowsi University of Mashhad.

    First Affiliated Hospital of Chongqing Medical University Reports Findings in Ma chine Learning (Prediction of benign and malignant pulmonary nodules using preop erative CT features: using PNIGARS as a predictor)

    116-117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 Chongqing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“The aim of thi s study was to develop and validate a prediction model for classification of pul monarynodules based on preoperative CT imaging. A data set of Centers 1 (traini ng set: 2633; internal testingset: 1129); Center 2 and Center 3 (external testi ng set: 218) of patients with pulmonary nodule caseswas retrospectively collect ed.”

    First Affiliated Hospital of Chongqing Medical University Reports Findings in Ma chine Learning (Prediction of benign and malignant pulmonary nodules using preop erative CT features: using PNIGARS as a predictor)

    116-117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 Chongqing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“The aim of thi s study was to develop and validate a prediction model for classification of pul monarynodules based on preoperative CT imaging. A data set of Centers 1 (traini ng set: 2633; internal testingset: 1129); Center 2 and Center 3 (external testi ng set: 218) of patients with pulmonary nodule caseswas retrospectively collect ed.”

    Western University Reports Findings in Artificial Intelligence (Evaluating predi ctive artificial intelligence approaches used in mobile health platforms to fore cast mental health symptoms among youth: a systematic review)

    117-118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 report. According to newsreporting originating from Londo n, Canada, by NewsRx correspondents, research stated, “The youthmental health c risis is exacerbated by limited access to care and resources. Mobile health (mHe alth)platforms using predictive artificial intelligence (AI) can improve access and reduce barriers, enabling realtimeresponses and precision prevention.”

    Western University Reports Findings in Artificial Intelligence (Evaluating predi ctive artificial intelligence approaches used in mobile health platforms to fore cast mental health symptoms among youth: a systematic review)

    117-118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 report. According to newsreporting originating from Londo n, Canada, by NewsRx correspondents, research stated, “The youthmental health c risis is exacerbated by limited access to care and resources. Mobile health (mHe alth)platforms using predictive artificial intelligence (AI) can improve access and reduce barriers, enabling realtimeresponses and precision prevention.”

    Researcher at Institute of Information Discusses Research in Machine Learning (O ptimizing Euclidean Distance Computation)

    118-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingfrom Almaty, Kazakhstan, by New sRx journalists, research stated, “This paper presents a comparativeanalysis of seventeen different approaches to optimizing Euclidean distance computations, w hich is a coremathematical operation that plays a critical role in a wide range of algorithms, particularly in machinelearning and data analysis.”

    Researcher at Institute of Information Discusses Research in Machine Learning (O ptimizing Euclidean Distance Computation)

    118-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingfrom Almaty, Kazakhstan, by New sRx journalists, research stated, “This paper presents a comparativeanalysis of seventeen different approaches to optimizing Euclidean distance computations, w hich is a coremathematical operation that plays a critical role in a wide range of algorithms, particularly in machinelearning and data analysis.”

    New Machine Learning Findings from Northeast Agricultural University Described ( Supervised and Unsupervised Machine Learning for Elemental Changes Evaluation of Torrefied Biochars)

    119-120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 to news reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “Thisstudy implemen ts a comprehensive analysis of supervised and unsupervised learning to evaluate elementalchanges and investigate the merits of the machine learning method for torrefied biochar property analysis.The focus is on data analysis using artific ial neural networks (ANNs) and k-means algorithms for analyzingthe carbonizatio n index (CI) and deoxygenation index (DI) after biomass torrefaction.”

    New Machine Learning Findings from Northeast Agricultural University Described ( Supervised and Unsupervised Machine Learning for Elemental Changes Evaluation of Torrefied Biochars)

    119-120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 to news reporting from Harbin, People’s Republic of China, by NewsRx journalists, research stated, “Thisstudy implemen ts a comprehensive analysis of supervised and unsupervised learning to evaluate elementalchanges and investigate the merits of the machine learning method for torrefied biochar property analysis.The focus is on data analysis using artific ial neural networks (ANNs) and k-means algorithms for analyzingthe carbonizatio n index (CI) and deoxygenation index (DI) after biomass torrefaction.”