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    New Machine Learning Findings Has Been Reported by Investigators at University of Parma (Improving the Quality Evaluation Process of Machine Learning Algorithms Applied To Landslide Time Series Analysis)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Parma, Italy, by NewsRx journalists, research stated, “The introduction of Machine Learning (ML) in the geotechnical community has led to numerous applications for monitoring data elab oration. These techniques demonstrate promising performance in comparison to con ventional methods aimed at determining the future behavior of a landslide.”

    New Findings from University of Malaya in the Area of Artificial Intelligence Described (Communication and Cognition Theory: A Theoretical Framework for Conducting Helpful Communication in Diversified Environments in the 21st Century)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Kuala Lumpur, Malaysi a, by NewsRx correspondents, research stated, “The current work assessed differe nt aspects, steps and conditions that help people communicate appropriately in t he current globalized world deeply affected by modern technologies, such the Internet and artificial intelligence.”

    New Findings Reported from Nanyang Institute of Technology Describe Advances in Machine Learning (Identification of Liquor Adulteration Based On Machine Learning and Electrochemical Sensor)

    21-22 页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Nanyang, People’s Republic of China, by NewsRx journalists, research stated, “This study introduces a novel app roach to detecting liquor adulteration using machine learning algorithms in conj unction with electrochemical sensors. The multi-frequency large-amplitude pulse voltammetric method was used to evaluate six types of liquors (L-50, L-60, L-70, L-80, L-90, L-100) using different metal electrodes at varying frequency segmen ts.”

    University of Munster Reports Findings in Machine Learning (Machine Learning Iso tropicg Values of Radical Polymers)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Munster, Germany, by New sRx journalists, research stated, “Methods for electronic structure computations, such as density functional theory (DFT), are routinely used for the calculatio n of spectroscopic parameters to establish and validate structure-parameter corr elations. DFT calculations, however, are computationally expensive for large sys tems such as polymers.”

    Cancer Hospital Reports Findings in Cancer (A unique circulating microRNA pairs signature serves as a superior tool for early diagnosis of pan-cancer)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cancer is the subject of a report. According to news reporting out of Beijing, People’s Republic of Ch ina, by NewsRx editors, research stated, “Cancer remains a major burden globally and the critical role of early diagnosis is self-evident. Although various miRN A-based signatures have been developed in past decades, clinical utilization is limited due to a lack of precise cutoff value.”

    Columbia University Reports Findings in Support Vector Machines (Functional support vector machine)

    24-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Support Vector Machine s is the subject of a report. According to news reporting originating in New Yor k City, New York, by NewsRx journalists, research stated, “Linear and generalize d linear scalar-on-function modeling have been commonly used to understand the r elationship between a scalar response variable (e.g. continuous, binary outcomes ) and functional predictors. Such techniques are sensitive to model misspecifica tion when the relationship between the response variable and the functional pred ictors is complex.”

    University of Technology Sydney Reports Findings in COVID-19 (Prognosis of COVID -19 severity using DERGA, a novel machine learning algorithm)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Coronavirus - COVID-19 is the sub ject of a report. According to news reporting out of Sydney, Australia, by NewsR x editors, research stated, “It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the em ergency department. Using artificial neural networks, we propose a new Data Ense mble Refinement Greedy Algorithm (DERGA) based on 15 easily accessible hematolog ical indices.”By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Coronavirus - COVID-19 is the sub ject of a report. According to news reporting out of Sydney, Australia, by NewsR x editors, research stated, “It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the em ergency department. Using artificial neural networks, we propose a new Data Ense mble Refinement Greedy Algorithm (DERGA) based on 15 easily accessible hematolog ical indices.”

    New Findings Reported from University of Oxford Describe Advances in Machine Learning (A New Gaussian Process Based Model for Non-linear Wave Loading On Vertical Cylinders)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting out of Oxford, United Kingdom, by News Rx editors, research stated, “We aim to establish a fast and accurate model for fast prediction of nonlinear loading on vertical cylinders such as are typically used for fixed offshore wind turbines. We follow a ‘Stokes -type’ force model and approximate the amplitude of the higher harmonics of force by relating these to the linear force time series raised to appropriate power through amplitude and phase coefficients.”

    Studies from Xiangtan University Yield New Information about Machine Learning (Prediction Model for Corrosion Rate of Low-alloy Steels Under Atmospheric Conditions Using Machine Learning Algorithms)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting from Xiangtan, People’s Republic of China, by N ewsRx journalists, research stated, “This work constructed a machine learning (M L) model to predict the atmospheric corrosion rate of low-alloy steels (LAS). Th e material properties of LAS, environmental factors, and exposure time were used as the input, while the corrosion rate as the output. 6 different ML algorithms were used to construct the proposed model.”

    New Machine Learning Study Findings Have Been Reported from La Trobe University (A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Bundoora, Australia, by NewsRx correspondents, research stated, “Building energy baseline models, par ticularly machine learning-based models, are a core aspect in the evaluation of building energy performance to identify inefficient energy consumption behavior. ”