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    Reports Outline Machine Learning Findings from Polytechnic University Milan (Exploratory Analysis and Evolutionary Computing Coupled Machine Learning Algorithms for Modelling the Wear Characteristics of Az31 Alloy)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Learning. According to news originating from Milan,Italy, by NewsRx correspondents, research stated, “The wear resistance of magnesium alloys is one of itskey technological properties that could limit their practical application. In accordance with ASTM G99-95astandard, this study used a pin-on-disc method to analyze the wear behavior of ascast AZ31 magnesiumalloy under dry-sliding conditions.”

    Study Findings from McGill University Broaden Understanding of Machine Learning (Fundamental Requirements of a Machine Learning Operations Platform for Industrial Metal Additive Manufacturing)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting fromMontreal, Canada, by NewsRx journalists, research stated, “Metal-based Additive Manufacturing (AM)can realize fully dense metallic components and thus offers an opportunity to compete with conventionalmanufacturing based on the unique merits possible through layer-by-layer processing. Unsurprisingly, MachineLearning (ML) applications in AM technologies have been increasingly growing in the past severalyears.”

    New Machine Learning Findings from Instituto Nacional de Investigacao Agraria e Veterinaria Described (Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach)

    50-51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 reportingfrom the Instituto Nacional de Investigacao Agraria e Veterinaria by NewsRx journalists, research stated,“Climate change is affecting global viticulture, increasing heatwaves and drought. Precision irrigation,supported by robust water status indicators (WSIs), is inevitable in most of the Mediterranean basin.”

    South China University of Technology Reports Findings in Machine Learning (Using machine learning to explore oxyanion adsorption ability of goethite with different specific surface area)

    51-52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 the subject of a report. According to newsoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“In this study, we developed prediction models for the adsorption of divalent and trivalent oxyanions ongoethite based on machine learning algorithms. After verifying the reliability of the models, the importanceof goethite specific surface area (SSA) and the average oxyanion adsorption capacities of goethite withdifferent SSAs were calculated by shapley additive explanations (SHAP) importance analysis and partialdependence (PD) analysis.”

    New Findings on Robotics Described by Investigators at Fuzhou University (Integral Line of Sight Guidance Scheme-based Tracking Method for Snake Robots)

    52-53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 Robotics. According to news reporting from Fujian,People’s Republic of China, by NewsRx journalists, research stated, “This study investigates the trajectorytracking strategy of a snake robot with sideslip disturbance and unknown model parameters. To guide therobot to track the ideal trajectory faster and more accurately, an adaptive anti-sideslip strategy for a snakerobot with the Integral Line-of-Sight (ILOS) function is reported.”

    University of Pittsburgh Reports Findings in Machine Learning (Periconceptional dietary patterns and adverse pregnancy and birth outcomes)

    53-54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 the subject of a report. According to news originatingfrom Pittsburgh, Pennsylvania, by NewsRx correspondents, research stated, “The periconceptionalperiod is a critical window for the origins of adverse pregnancy and birth outcomes, yet little is knownabout the dietary patterns that promote perinatal health. We used machine learning methods to determinethe effect of periconceptional dietary patterns on the risk of preeclampsia, gestational diabetes, pretermbirth, small-for-gestational-age (SGA) birth, and a composite of these outcomes.”

    Researchers from Department of Humanities Report New Studies and Findings in the Area of Machine Learning (Machine Learning for Ancient Languages: a Survey)

    54-55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 reportingoriginating in Venice, Italy, by NewsRx journalists, research stated, “Ancient languages preserve the culturesand histories of the past. However, their study is fraught with difficulties, and experts must tackle a rangeof challenging text-based tasks, from deciphering lost languages to restoring damaged inscriptions, todetermining the authorship of works of literature.”

    New Machine Learning Findings from University of Science & Technology Liaoning Reported (A Novel Hybrid Binary Whale Optimization Algorithm With Chameleon Hunting Mechanism for Wrapper Feature Selection In Qsar Classification Model: a ...)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have been published. According to news reporting fromAnshan, People’s Republic of China, by NewsRx journalists, research stated, “High dimensionality is one ofthe main challenges in Quantitative Structure-Activity Relationship (QSAR) classification modeling, andfeature selection as an effective dimensionality reduction method plays an important role in machine learning,particularly in fields such as chemometrics. In this paper, for feature selection in QSAR classificationmodeling, a hybrid whale optimization algorithm (WOA) with a chameleon hunting mechanism (HWOACHM)is proposed, and its binary version is used to find the best subset for wrapper feature selection inthe QSAR classification model.”

    Institute for Social and Cultural Studies Researcher Provides New Study Findings on Artificial Intelligence (Artificial Intelligence and The Future of Scientific Progress: From Normal Science to Post Normal Science)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intelligence have been published. According to newsoriginating from Tehran, Iran, by NewsRx editors, the research stated, “The concept of progress has longbeen a central focus of scholarly discourse, with science and technology serving as key drivers for societaladvancement and the continual improvement of quality of life.”

    Study Results from Department of Geosciences Update Understanding of Machine Learning (Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting from the Department of Geosciences by NewsRx journalists, research stated, “Sonic wave transittimes are the major logs for estimating pertinent geomechanical parameters including overburden stress,pore pressure, effective stress, and unconfined compressible strength among others. These logs containmuch important information about subsurface formation.”