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    Study Results from Idaho National Laboratory Broaden Understanding of Machine Le arning (Characterization of Fuel Cladding Chemical Interaction On a High Burnup U-10zr Metallic Fuel Via Electron Energy Loss Spectroscopy Enhanced By Machine . ..)

    122-123页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Idaho Falls, Idaho, by NewsRx journalists, research stated, “Fuel cladding chemicalinteracti on (FCCI) plays a key role in limiting the performance of metallic fuels in nucl ear applications.A comprehensive analysis of chemical elements present in FCCI region is the basis for understanding thephenomena and developing potential mit igating strategies.”

    Study Results from Idaho National Laboratory Broaden Understanding of Machine Le arning (Characterization of Fuel Cladding Chemical Interaction On a High Burnup U-10zr Metallic Fuel Via Electron Energy Loss Spectroscopy Enhanced By Machine . ..)

    122-123页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Idaho Falls, Idaho, by NewsRx journalists, research stated, “Fuel cladding chemicalinteracti on (FCCI) plays a key role in limiting the performance of metallic fuels in nucl ear applications.A comprehensive analysis of chemical elements present in FCCI region is the basis for understanding thephenomena and developing potential mit igating strategies.”

    Reports from Ludong University Advance Knowledge in Machine Learning (Power of S ar Imagery and Machine Learning In Monitoring ulva Prolifera: a Case Study of Se ntinel-1 and Random Forest)

    123-123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 Learn ing have been published. According tonews originating from Yantai, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Automatically detect ing Ulva prolifera (U. prolifera) in rainy and cloudy weather using remote sensi ngimagery has been a long-standing problem. Here, we address this challenge by combining high-resolutionSynthetic Aperture Radar (SAR) imagery with the machin e learning, and detect the U. prolifera of theSouth Yellow Sea of China (SYS) i n 2021.”

    Reports from Ludong University Advance Knowledge in Machine Learning (Power of S ar Imagery and Machine Learning In Monitoring ulva Prolifera: a Case Study of Se ntinel-1 and Random Forest)

    123-123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 Learn ing have been published. According tonews originating from Yantai, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Automatically detect ing Ulva prolifera (U. prolifera) in rainy and cloudy weather using remote sensi ngimagery has been a long-standing problem. Here, we address this challenge by combining high-resolutionSynthetic Aperture Radar (SAR) imagery with the machin e learning, and detect the U. prolifera of theSouth Yellow Sea of China (SYS) i n 2021.”

    New Machine Learning Data Have Been Reported by Investigators at Federal Univers ity Pelotas (Engineering, Technology Techniques Soybean Seed Classification Usin g Nir and Machine Learning)

    124-125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 out of Capao do Leao, Brazil, by NewsRx editors, research stated, “To assess the physiologicalquality of soy bean seeds, regulations require germination levels of at least 80% for a batch of seeds to beapproved. With the evolution of technology and comput ing, spectrophotometric methods are advancing,making it possible to analyze the molecular vibrations present in seed samples and correlate them withgerminatio n results.”

    New Machine Learning Data Have Been Reported by Investigators at Federal Univers ity Pelotas (Engineering, Technology Techniques Soybean Seed Classification Usin g Nir and Machine Learning)

    124-125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 out of Capao do Leao, Brazil, by NewsRx editors, research stated, “To assess the physiologicalquality of soy bean seeds, regulations require germination levels of at least 80% for a batch of seeds to beapproved. With the evolution of technology and comput ing, spectrophotometric methods are advancing,making it possible to analyze the molecular vibrations present in seed samples and correlate them withgerminatio n results.”

    Findings from University of Pompeu Fabra Yields New Data on Artificial Intellige nce (Artificial Intelligence In Sports: a Revolutionary Technology That Must Be Handled With Care)

    124-124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 reportingout of Barcelona, Spain, by NewsRx editors, the research stated, “Artificial Intelligence (AI) has developed very quickly in sport. Today, it has infiltrated all areas of sport, and its u ses and applications continueto grow.”

    Findings from University of Pompeu Fabra Yields New Data on Artificial Intellige nce (Artificial Intelligence In Sports: a Revolutionary Technology That Must Be Handled With Care)

    124-124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 reportingout of Barcelona, Spain, by NewsRx editors, the research stated, “Artificial Intelligence (AI) has developed very quickly in sport. Today, it has infiltrated all areas of sport, and its u ses and applications continueto grow.”

    Study Findings from Oslo Metropolitan University Broaden Understanding of Machin e Learning (Building Performance Optimization Through Sensitivity Analysis, and Economic Insights Using Ai)

    125-126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 originatingfrom Oslo, Norway, by NewsRx correspond ents, research stated, “Optimizing building designs for energyefficiency and oc cupant comfort presents significant challenges due to the complex and often conf lictingrequirements of various stakeholders. Consequently, this study conducts a multifaceted sensitivity andeconomic impact analysis that aims to improve bui lding performance in terms of energy efficiency andoccupant comfort by implemen ting machine learning techniques.”

    Study Findings from Oslo Metropolitan University Broaden Understanding of Machin e Learning (Building Performance Optimization Through Sensitivity Analysis, and Economic Insights Using Ai)

    125-126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 originatingfrom Oslo, Norway, by NewsRx correspond ents, research stated, “Optimizing building designs for energyefficiency and oc cupant comfort presents significant challenges due to the complex and often conf lictingrequirements of various stakeholders. Consequently, this study conducts a multifaceted sensitivity andeconomic impact analysis that aims to improve bui lding performance in terms of energy efficiency andoccupant comfort by implemen ting machine learning techniques.”