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    Marius Nasta Institute of Pneumology Reports Findings in Artificial Intelligence (Artificial intelligence in tuberculosis: a new ally in disease control)

    5-5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 Intelligenc e is the subject of a report. According to newsreporting originating in Buchare st, Romania, by NewsRx journalists, research stated, “The challenges toeffectiv e tuberculosis (TB) disease control are considerable, and the current global tar gets for reductions indisease burden seem unattainable. The combination of comp lex pathophysiology and technical limitationsresults in difficulties in achievi ng consistent, reliable diagnoses, and long treatment regimens imply seriousphy siological and socioeconomic consequences for patients.”

    Marius Nasta Institute of Pneumology Reports Findings in Artificial Intelligence (Artificial intelligence in tuberculosis: a new ally in disease control)

    5-5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 Intelligenc e is the subject of a report. According to newsreporting originating in Buchare st, Romania, by NewsRx journalists, research stated, “The challenges toeffectiv e tuberculosis (TB) disease control are considerable, and the current global tar gets for reductions indisease burden seem unattainable. The combination of comp lex pathophysiology and technical limitationsresults in difficulties in achievi ng consistent, reliable diagnoses, and long treatment regimens imply seriousphy siological and socioeconomic consequences for patients.”

    Findings on Field Robotics Reported by Investigators at National Institute for R esearch in Computer Science and Control (INRIA) (Collaborative Robotics: Applica tion of Delphi Method)

    6-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Field Robotics are discussed in a new report. Accordingto news reporting from Paris, France, by NewsRx journalists, research stated, “In the domain ofcollaborative robotics, it is often needed to make complex multiparametric choices or assessme nts thatcombine heterogeneous criteria, such as task performance, reliability, safety, and ergonomics. The Delphimethod, a process of arriving at group consen sus by providing experts with rounds of questionnaires, aswell as the group res ponse before each subsequent round, can be applied to solve this type of problem s.”

    Findings on Field Robotics Reported by Investigators at National Institute for R esearch in Computer Science and Control (INRIA) (Collaborative Robotics: Applica tion of Delphi Method)

    6-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics - Field Robotics are discussed in a new report. Accordingto news reporting from Paris, France, by NewsRx journalists, research stated, “In the domain ofcollaborative robotics, it is often needed to make complex multiparametric choices or assessme nts thatcombine heterogeneous criteria, such as task performance, reliability, safety, and ergonomics. The Delphimethod, a process of arriving at group consen sus by providing experts with rounds of questionnaires, aswell as the group res ponse before each subsequent round, can be applied to solve this type of problem s.”

    Research Reports from Gyeongsang National University Provide New Insights into R obotics (An Efficient Acoustic Camera Simulator for Robotic Applications: Design , Implementation, and Validation)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to newsreporting originating from Gyeongsang N ational University by NewsRx correspondents, research stated,“As forward-lookin g imaging sonar, also called an acoustic camera, has emerged as an important sen sorfor marine robotics applications, its simulators have attracted considerable research attention within thefield.”

    Research Reports from Gyeongsang National University Provide New Insights into R obotics (An Efficient Acoustic Camera Simulator for Robotic Applications: Design , Implementation, and Validation)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to newsreporting originating from Gyeongsang N ational University by NewsRx correspondents, research stated,“As forward-lookin g imaging sonar, also called an acoustic camera, has emerged as an important sen sorfor marine robotics applications, its simulators have attracted considerable research attention within thefield.”

    Yeungnam University Researchers Yield New Data on Machine Learning [Experimental comparison and optimal machine learning technique for predicting th e thermo-hydraulic performance of Low- GWP refrigerants (R1234yf, R290, and R13I1 /R290) during …]

    7-8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 artific ial intelligence. According to news originating fromGyeongbuk, South Korea, by NewsRx editors, the research stated, “In recent times, employing machinelearnin g techniques (MLTs) to forecast the evaporation/condensation performance of refr igerants, namelythe heat transfer coefficient (HTC) and frictional pressure dro p (FPD), has become increasingly significant.In the current investigation, an e xperimental comparison of the evaporation HTC and FPD of R1234yf,R290, and R13I 1/R290 was explored in an offset strip fin-plate heat exchanger.”

    Yeungnam University Researchers Yield New Data on Machine Learning [Experimental comparison and optimal machine learning technique for predicting th e thermo-hydraulic performance of Low- GWP refrigerants (R1234yf, R290, and R13I1 /R290) during …]

    7-8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 artific ial intelligence. According to news originating fromGyeongbuk, South Korea, by NewsRx editors, the research stated, “In recent times, employing machinelearnin g techniques (MLTs) to forecast the evaporation/condensation performance of refr igerants, namelythe heat transfer coefficient (HTC) and frictional pressure dro p (FPD), has become increasingly significant.In the current investigation, an e xperimental comparison of the evaporation HTC and FPD of R1234yf,R290, and R13I 1/R290 was explored in an offset strip fin-plate heat exchanger.”

    Investigators at Bohai University Report Findings in Machine Learning (Feature S election and Classification Based On Directed Fuzzy Rough Sets)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsoriginating from Jinzhou, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Fuzzyrough s ets have made considerable strides within the domain of machine learning and dat a mining andserved as a valuable tool for feature selection. However, tradition al models face challenges in computingfuzzy similarity relations.”

    Investigators at Bohai University Report Findings in Machine Learning (Feature S election and Classification Based On Directed Fuzzy Rough Sets)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsoriginating from Jinzhou, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Fuzzyrough s ets have made considerable strides within the domain of machine learning and dat a mining andserved as a valuable tool for feature selection. However, tradition al models face challenges in computingfuzzy similarity relations.”