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    Researchers from Nanjing University of Aeronautics and AstronauticsDetail Findings in Machine Learning (Developing Predictive Models of Construction Fatality Characteristics Using Machine Learning)

    28-29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 originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Constructionfatalities have significant economic and emotional burdens to construction employees, families, and organizations.Understanding critical factors influencing construction fatalities and eventually developingpredictive models to predict construction fatality characteristics are therefore important.”Financial supporters for this research include National Natural Science Foundation of China (NSFC),China Postdoctoral Science Foundation, Social Science Fund of Jiangsu Province, Fundamental ResearchFunds for the Central Universities.

    Researchers at North West University Release New Data on MachineLearning (Enhancing classification performance in imbalanced datasets: A comparative analysis of machine learning models)

    29-30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 intelligence is the subject of a new report. According tonews originating from North West University by NewsRx editors, the research stated, “In the realm ofmachine learning, where data-driven insights guide decision-making, addressing the challenges posed byclass imbalance in datasets has emerged as a crucial concern. The effectiveness of classification algorithmshinges not only on their intrinsic capabilities but also on their adaptability to uneven class distributions, acommon issue encountered across diverse domains.”

    Studies from Department of Biostatistics in the Area of Machine Learning Reported (Augmented Transfer Regression Learning With Semi-non-parametric Nuisance Models)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of New York City, New York, by NewsRx editors, research stated, “We develop an augmented transferregression learning (ATReL) approach that intro-duces an imputation model to augment the importanceweighting equation to achieve dou-ble robustness for covariate shift correction. More significantly, wepropose a novel semi -non-parametric (SNP) construction framework for the two nuisance models.”

    Norwegian University of Science and Technology (NTNU) ResearcherAdds New Study Findings to Research in Machine Learning (A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods)

    31-31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 intelligence are discussed in a new report. According tonews originating from Norwegian University of Science and Technology (NTNU) by NewsRx editors, theresearch stated, “Recent advances in Generative Artificial Intelligence (AI) have increased the possibilityof generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable children,individuals, and society at large with misinformation.”

    Nanjing University of Aeronautics and Astronautics Reports Findingsin Machine Learning (Source term inversion of short-lived nuclidesin complex nuclear accidents based on machine learning using off-site gamma dose rate)

    32-32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 reportingoriginating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Duringnuclear accidents, large amounts of short-lived radionuclides are released into the environment, causingacute health hazards to local populations. Therefore, it is particularly important to obtain source-terminformation to assist nuclear emergency decision makers in determining emergency protective measures.”

    First Affiliated Hospital of Shandong First Medical University Reports Findings in Machine Learning (Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC)

    33-34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 newsreporting originating from Shandong, People’s Republic of China, by NewsRx correspondents, researchstated, “The epidermal growth factor receptor (EGFR) Thr790 Met (T790M) mutation is responsible forapproximately half of the acquired resistance to EGFR-tyrosine kinase inhibitor (TKI) in non-small-cell lungcancer (NSCLC) patients. Identifying patients at diagnosis who are likely to develop this mutation afterfirst- or second-generation EGFR-TKI treatment is crucial for better treatment outcomes.”

    New Study Findings from Free University of Bozen Illuminate Research in Machine Learning (Advances in Machine Learning Techniques Used in Fatigue Life Prediction of Welded Structures)

    34-35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 intelligence have been presented. According to news originatingfrom Bolzano, Italy, by NewsRx correspondents, research stated, “In the shipbuilding, construction,automotive, and aerospace industries, welding is still a crucial manufacturing process because it can be uti- lized to create massive, intricate structures with exact dimensional specifications. These kinds of structuresare essential for urbanization considering they are used in applications such as tanks, ships, and bridges.”

    Researcher at Universite Rennes 2 Has Published New Study Findingson Machine Translation (L’integration de la revision et de la post-edition dans la formation en traduction)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on machine translation have been presented. According to news originatingfrom the Universite Rennes 2 by NewsRx editors, the research stated, “Since the first studies observingpedagogical activities related to quality in translator training, many evolutions have taken place, in trainingprogrammes as well as in the professional world.”

    Data on Machine Learning Published by a Researcher at Telkom University (Current-Signal-Based Fault Diagnosis of Railway Point Machines Using Machine Learning)

    35-36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 originatingfrom Bandung, Indonesia, by NewsRx correspondents, research stated, “The majority of railway operators still implement conventional maintenance for railway point machines (RPMs), which is one of the mostvital pieces of equipment for ensuring the safety of train operation.”

    Study Data from Van Lang University Provide New Insights into Machine Learning (Application of Machine Learning-based SurrogateModels for Urban Flood Depth Modeling In Ho Chi Minh City, Vietnam)

    36-37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 newsreporting originating from Ho Chi Minh City, Vietnam, by NewsRx correspondents, research stated, “Rapidflood prediction in coastal urban areas is an important but challenging task. However, multi-driver floods incoastal areas and their non-linearity in physical processes are hard to represent in physics-based numericalmodels (PBNMs).”