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    Consejo Superior de Investigaciones Cientificas-Autonomous University@@Madrid Rep orts Findings in Machine Learning (Translational@@Algorithms for Technological Di etary Quality Assessment Integrating@@Nutrimetabolic Data with Machine Learning . ..)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originatingfrom Madrid, Spain, by NewsRx correspo ndents, research stated, “Recent advances in machine learningtechnologies and o mics methodologies are revolutionizing dietary assessment by integrating phenoty pical,clinical, and metabolic biomarkers, which are crucial for personalized pr ecision nutrition. This investigationaims to evaluate the feasibility and effic acy of artificial intelligence tools, particularly machine learning(ML) methods , in analyzing these biomarkers to characterize food and nutrient intake and to predictdietary patterns.”

    Consejo Superior de Investigaciones Cientificas-Autonomous University@@Madrid Rep orts Findings in Machine Learning (Translational@@Algorithms for Technological Di etary Quality Assessment Integrating@@Nutrimetabolic Data with Machine Learning . ..)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originatingfrom Madrid, Spain, by NewsRx correspo ndents, research stated, “Recent advances in machine learningtechnologies and o mics methodologies are revolutionizing dietary assessment by integrating phenoty pical,clinical, and metabolic biomarkers, which are crucial for personalized pr ecision nutrition. This investigationaims to evaluate the feasibility and effic acy of artificial intelligence tools, particularly machine learning(ML) methods , in analyzing these biomarkers to characterize food and nutrient intake and to predictdietary patterns.”

    Fondazione Policlinico Universitario A. Gemelli Reports Findings in@@Liver Failur e (Preoperative prediction of post hepatectomy liver@@failure after surgery for h epatocellular carcinoma on CT-scan by@@machine learning and radiomics analyses)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Liver Diseases and Con ditions - Liver Failure is the subject of a report.According to news reporting from Rome, Italy, by NewsRx journalists, research stated, “No instrumentsare av ailable to predict preoperatively the risk of posthepatectomy liver failure (PHL F) in HCC patients.The aim was to predict the occurrence of PHLF preoperatively by radiomics and clinical data throughmachine-learning algorithms.”

    Fondazione Policlinico Universitario A. Gemelli Reports Findings in@@Liver Failur e (Preoperative prediction of post hepatectomy liver@@failure after surgery for h epatocellular carcinoma on CT-scan by@@machine learning and radiomics analyses)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Liver Diseases and Con ditions - Liver Failure is the subject of a report.According to news reporting from Rome, Italy, by NewsRx journalists, research stated, “No instrumentsare av ailable to predict preoperatively the risk of posthepatectomy liver failure (PHL F) in HCC patients.The aim was to predict the occurrence of PHLF preoperatively by radiomics and clinical data throughmachine-learning algorithms.”

    Reports Outline Support Vector Machines Study Results from@@Lanzhou Jiaotong Univ ersity (Self-supervised change detection of@@heterogeneous images based on differ ence algorithms)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on have been presented. According t o news reporting out of Lanzhou, People’sRepublic of China, by NewsRx editors, research stated, “The presence of heterogeneous image disparitiesoften leads to inferior quality in the generated difference images during change detection.”Funders for this research include Key Research And Development Project of Lanzho u Jiao TongUniversity; The Central Guided Local Science And Technology Developm ent Funds Project; NationalNatural Science Foundation of China.

    Reports Outline Support Vector Machines Study Results from@@Lanzhou Jiaotong Univ ersity (Self-supervised change detection of@@heterogeneous images based on differ ence algorithms)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on have been presented. According t o news reporting out of Lanzhou, People’sRepublic of China, by NewsRx editors, research stated, “The presence of heterogeneous image disparitiesoften leads to inferior quality in the generated difference images during change detection.”Funders for this research include Key Research And Development Project of Lanzho u Jiao TongUniversity; The Central Guided Local Science And Technology Developm ent Funds Project; NationalNatural Science Foundation of China.

    Recent Findings in Support Vector Machines Described by Researchers@@from Ajayi C rowther University (Performance Evaluation@@of Some Selected Classification Algor ithms in a Facial Recognition@@System)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on are discussed in a new repor t. According to news reporting originating fromAjayi Crowther University by New sRx correspondents, research stated, “Facial Recognition (FR) has beenan active area of research and has diverse applicable environment, it continues to be a c hallenging researchtopic.”

    Recent Findings in Support Vector Machines Described by Researchers@@from Ajayi C rowther University (Performance Evaluation@@of Some Selected Classification Algor ithms in a Facial Recognition@@System)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on are discussed in a new repor t. According to news reporting originating fromAjayi Crowther University by New sRx correspondents, research stated, “Facial Recognition (FR) has beenan active area of research and has diverse applicable environment, it continues to be a c hallenging researchtopic.”

    Study Findings on Artificial Intelligence Reported by Researchers@@at Dalian Minz u University (Exploring the compositional effect of@@eco-friendly ultra-high perf ormance concrete on dynamic strength@@based on stacking algorithm and explainable …)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news reporting out of Dalian,People’s Republic of China, b y NewsRx editors, research stated, “This study proposes a two-layer fusionmodel (stacking-CARF) to predict the dynamic compressive strength of eco-friendly ult ra-high performanceconcrete (UHPC).”

    Study Findings on Artificial Intelligence Reported by Researchers@@at Dalian Minz u University (Exploring the compositional effect of@@eco-friendly ultra-high perf ormance concrete on dynamic strength@@based on stacking algorithm and explainable …)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news reporting out of Dalian,People’s Republic of China, b y NewsRx editors, research stated, “This study proposes a two-layer fusionmodel (stacking-CARF) to predict the dynamic compressive strength of eco-friendly ult ra-high performanceconcrete (UHPC).”