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    Reports Outline Machine Learning Study Findings from Xihua University (Composition Optimization of Alfecusimg Alloys Based On Elastic Modules: a Combination Method of Machine Learning and Molecular Dynamics Simulation)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reporting outof Chengdu, People’s Republic of China, by NewsRx editors, research stated, “High entropy alloys (HEAs)has attracted much attention owning to its excellent mechanical properties. However, the application ofthese HEAs is limited by the uncertain element ratio, high cost and low efficiency preparation methods.”Our news journalists obtained a quote from the research from Xihua University, “In this work, weoptimize the composition of AlFeCuSiMg HEAs based on elastic modulus as a prediction index throughmachine learning (ML) and molecular dynamics (MDs) simulation. The training sets and test sets areprepared by MDs. By comparing the average R2 and RMSE values of different ML models, we selectedsupport vector regression (SVR) model and random forest (RF) regression model to predict the elasticmodulus of AlFeCuSiMg HEAs.”

    Investigators at Beijing Jiaotong University Detail Findings in Machine Learning (A Machine-learning-based Approach for Identifying Diagnostic Errors In Electronic Medical Records)

    38-39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 Machine Learning have been published. According to newsreporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Diagnostic errorrefers to a missed, delayed, or wrong diagnosis, which seriously affects diagnostic reliability and safety.Identifying diagnostic errors is crucial for diagnostic error research.”

    Reports Summarize Machine Learning Research from Dalian MaritimeUniversity (Machine Learning-Driven Ontological Knowledge Base for Bridge Corrosion Evaluation)

    39-40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 Dalian, People’s Republic of China, by NewsRx correspondents, research stated, “Inbridge maintenance, assessing structural performance requires adherence to rules outlined in safety andregulatory standards which can be effectively and formally represented in both human and machine-readableformats using ontologies. However, ontology-based semantic inference alone falls short when faced withthe complicated mathematical operations required for structural analysis.”

    National Sun Yat-Sen University Researcher Has Provided New Data on Machine Learning (Detection of Hydrogen Bubbles Producedby Corrosion Inhibition of Metal Weldment Using Machine Learning)

    40-41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 artificial intelligence. According to news reportingoriginating from Kaohsiung City, Taiwan, by NewsRx correspondents, research stated, “This study analyzesthe corrosion inhibition efficiency of sodium molybdate (SM) solution on weldment specimens in 1 M HCl,based on H2 bubbles detection.”

    New Nanomaterials Study Findings Have Been Reported by Investigators at Sichuan University (Binary-1d/2d Nanomaterialfunctionalization Toward Strong, Stretchable, and Anti-freezing Electrically Conductive Organohydrogels for Self-powered …)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Nanotechnology - Nanomaterials have been presented. According to news reportingfrom Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Machinesand robots have become greatly significant in liberating human beings from heavy and repetitive physicalwork, which requires intelligent monitoring of their operation states. However, simultaneous realization ofself-power, high mechanical strength, ultra-stretchability, and low-temperature tolerance for sensing devicesremains challenging.”

    Army Medical University Reports Findings in Peritoneal Dialysis(Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Dialysis - Peritoneal Dialysis is the subject of a report. According to newsreporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, research stated,“An appropriate prediction model for adverse prognosis before peritoneal dialysis (PD) is lacking. Thus, weretrospectively analysed patients who underwent PD to construct a predictive model for adverse prognosesusing machine learning (ML).”

    Peking Union Medical College Hospital Reports Findings in Machine Learning (Steroid profiling in adrenal disease)

    43-44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 Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Themeasurement of steroid hormones in blood and urine, which reflects steroid biosynthesis and metabolism,has been recognized as a valuable tool for identifying and distinguishing steroidogenic disorders. The application of mass spectrometry enables the reliable and simultaneous analysis of large panels of steroids,ushering in a new era for diagnosing adrenal diseases.”

    Recent Findings from University of Havana Highlight Research inArtificial Intelligence (Ecosystem Based on an Extended and Responsible Ethics for Mobile Robots and Artificial Intelligence in Cuba)

    43-43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 newsreporting out of the University of Havana by NewsRx editors, research stated, “Our main hypothesis isthat an extended moral agent cannot fulfill their expectation of ‘extendedness’ without a dynamical andevolutionary ecosystem where the agent develops and behave properly.”

    New Findings on Robotics from Southern University of Science andTechnology (SUSTech) Summarized (Learning To Reorient Objects With Stable Placements Afforded By Extrinsic Supports)

    44-45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 Robotics is now available. According to news reporting originatingin Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Reorienting objects byusing supports is a practical yet challenging manipulation task. Owing to the intricate geometry of objectsand the constrained feasible motions of the robot, multiple manipulation steps are required for objectreorientation.”

    Investigators from Fudan University Release New Data on MachineLearning (Machine Learning Method for 12c Event Classification and Reconstruction In the Active Target Time-projection Chamber)

    45-46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 Machine Learning have been published. According to newsreporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Active targettime projection chambers are important tools in low energy radioactive ion beams or gamma rays relatedresearches. In this work, we present the application of machine learning methods to the analysis of dataobtained from an active target time projection chamber.”