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    University of Toronto Reports Findings in Heart Failure (Comparison of Machine L earning and Conventional Statistical Modeling for Predicting Readmission Followi ng Acute Heart Failure Hospitalization)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of a report.According to news reporting o riginating in Toronto, Canada, by NewsRx journalists, research stated,“Developi ng accurate models for predicting the risk of 30-day readmission is a major heal thcare interest.Evidence suggests that models developed using machine learning (ML) may have better discriminationthan conventional statistical models (CSM), but the calibration of such models is unclear.”

    Researcher at Morehead State University Zeroes in on Machine Learning (Adaptive Imputation of Irregular Truncated Signals with Machine Learning)

    49-50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 ar tificial intelligence. According to news originatingfrom Morehead, Kentucky, by NewsRx editors, the research stated, “In modern advanced manufacturingsystems, the use of smart sensors and other Internet of Things (IoT) technology to provi de real-timefeedback to operators about the condition of various machinery or o ther equipment is prevalent.”

    Researcher from Victoria University Publishes Findings in Machine Learning [A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) He ights]

    50-51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 artificial intelligence. According to news reportingfrom Melbourne, Australia, by NewsRx journalists, research stated, “Tripping is the largest cause of falls,and low swing foot ground clearance during the mid-swing phase, particularly at the critical gait eventknown as Minimum Foot Clearance (MFC), is the major ris k factor for tripping-related falls.”

    Studies from Yanshan University in the Area of Robotics Reported (Kinematic Perf ormance Analysis and Dimensional Optimization of New Symmetric Parallel Mechanis m 6rps With Multi-redundant Actuations)

    51-51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 Robotic s. According to news reporting originatingfrom Qinhuangdao, People’s Republic o f China, by NewsRx correspondents, research stated, “A novelsymmetric parallel mechanism 6RPS with multi-redundant actuations is proposed in this paper, whichpossesses two rotational and one translational degrees-of-freedom. Motion and co nstraint screw systemsof this mechanism are established and then character of t he freedom is analyzed.”

    Fujian Normal University Reports Findings in Machine Learning (An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design)

    52-53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 from Fuzhou, People’s Republi c of China, by NewsRx journalists, research stated, “Fall detectionis of great significance in safeguarding human health. By monitoring the motion data, a fall detection system(FDS) can detect a fall accident.”

    Study Data from Dalhousie University Update Understanding of Machine Learning (A Systematic Literature Review of Predicting Patient Discharges Using Statistical Methods and Machine Learning)

    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 th e subject of a report. According to newsreporting originating in Halifax, Canad a, by NewsRx journalists, research stated, “Discharge planning isintegral to pa tient flow as delays can lead to hospital-wide congestion. Because a structured dischargeplan can reduce hospital length of stay while enhancing patient satisf action, this topic has caught theinterest of many healthcare professionals and researchers.”

    Studies from Mustapha Stambouli University of Mascara Describe New Findings in M achine Translation (Comparative Study of Google Translate and Yandex of English Latin-Originated Legal Phraseology into Arabic: A corpus-based approach)

    54-54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 translation. According to news originatingfrom Mustapha Stambouli University o f Mascara by NewsRx correspondents, research stated, “The use ofmachine transla tion has become ubiquitous across various translation practices, especially with the adventof neural machine translation and the integration of deep learning a nd artificial intelligence in translationprogram development. While the accurac y and quality of machine translation outcomes have significantlyimproved, chall enges persist particularly in legal translation from English to Arabic.”

    Data on Automobile Safety Reported by a Researcher at University of Quebec in Ou taouais (Toward Safer Roads: Predicting the Severity of Traffic Accidents in Mon treal Using Machine Learning)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on automobile safety is the subject of a new report. According to news originatingfrom Gatineau, Canada, by NewsRx editors, the research stated, “Traffic accidents are among the mostcommon cause s of death worldwide. According to statistics from the World Health Organization (WHO),50 million people are involved in traffic accidents every year.”

    Findings from Delft University of Technology Update Knowledge of Machine Learnin g (Probing Machine Learning Models Based On High Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts)

    56-57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 from Delft, Netherlands, by N ewsRx journalists, research stated, “Enantioselective hydrogenationof olefins b y Rh-based chiral catalysts has been extensively studied for more than 50 years. Naively, onewould expect that everything about this transformation is known an d that selecting a catalyst that inducesthe desired reactivity or selectivity i s a trivial task.”

    Researchers from Southwest Forestry University Describe Findings in Intelligent Systems (Rdfinet: Reference-guided Directional Diverse Face Inpainting Network)

    57-58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 Ma chine Learning - Intelligent Systems. Accordingto news reporting from Yunnan, P eople’s Republic of China, by NewsRx journalists, research stated, “Themajority of existing face inpainting methods primarily focus on generating a single resu lt that visuallyresembles the original image. The generation of diverse and pla usible results has emerged as a new branchin image restoration, often referred to as ‘Pluralistic Image Completion.”