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    Study Results from Russian Academy of Sciences Broaden Understanding of Machine Learning (Using Machine Learning Towards Enhancement of Electrochemical Activity In Oer/orr Half-reactions of Mxene Cathode Materials for Li-air Batteries)

    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 Machine Learning is now available. According to news reporting fromMoscow, Russia, by NewsRx journalis ts, research stated, “Metal-air batteries are the target of the evergrowingint erest as considering as the new ‘lead’ technology among the most promising elect rochemicalenergy storage solutions. The projected energy density of lithium-air batteries considered in this studyexceeds current commercial lithium-ion batte ries by more than three times.”

    Study Results from Russian Academy of Sciences Broaden Understanding of Machine Learning (Using Machine Learning Towards Enhancement of Electrochemical Activity In Oer/orr Half-reactions of Mxene Cathode Materials for Li-air Batteries)

    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 Machine Learning is now available. According to news reporting fromMoscow, Russia, by NewsRx journalis ts, research stated, “Metal-air batteries are the target of the evergrowingint erest as considering as the new ‘lead’ technology among the most promising elect rochemicalenergy storage solutions. The projected energy density of lithium-air batteries considered in this studyexceeds current commercial lithium-ion batte ries by more than three times.”

    Researchers from GLA University Provide Details of New Studies and Findings in t he Area of Machine Learning (Assessment of face image quality for improvement of recognition system with machine learning)

    36-36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 reportingout of GLA University by News Rx editors, research stated, “Face recognition systems are crucial in securitya nd surveillance.”Our news editors obtained a quote from the research from GLA University: “Howeve r, their effectivenessdepends on the quality of input face images. This paper i ntroduces a novel Face Image Quality Assessment(FIQA) framework to enhance reco gnition accuracy. It evaluates image quality using various factors andcombines them to classify the face quality index.”

    Researchers from GLA University Provide Details of New Studies and Findings in t he Area of Machine Learning (Assessment of face image quality for improvement of recognition system with machine learning)

    36-36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 reportingout of GLA University by News Rx editors, research stated, “Face recognition systems are crucial in securitya nd surveillance.”Our news editors obtained a quote from the research from GLA University: “Howeve r, their effectivenessdepends on the quality of input face images. This paper i ntroduces a novel Face Image Quality Assessment(FIQA) framework to enhance reco gnition accuracy. It evaluates image quality using various factors andcombines them to classify the face quality index.”

    New Machine Learning Data Have Been Reported by Investigators at Boston Universi ty (Using Machine-learning-aided Computational Fluid Dynamics To Facilitate Desi gn of Experiments)

    36-37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 originating fromBoston, Massachusetts, by NewsRx c orrespondents, research stated, “The design of novel reactors andchemical proce sses requires an understanding of the fundamental chemical-physical processes at smallspatial and temporal scales and a systematic scale-up of these studies to investigate how the process willperform at industrial scales. The financial an d temporal costs of these studies can be significant.”

    New Machine Learning Data Have Been Reported by Investigators at Boston Universi ty (Using Machine-learning-aided Computational Fluid Dynamics To Facilitate Desi gn of Experiments)

    36-37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 originating fromBoston, Massachusetts, by NewsRx c orrespondents, research stated, “The design of novel reactors andchemical proce sses requires an understanding of the fundamental chemical-physical processes at smallspatial and temporal scales and a systematic scale-up of these studies to investigate how the process willperform at industrial scales. The financial an d temporal costs of these studies can be significant.”

    Institute of General and Physical Chemistry Reports Findings in Machine Learning [Preventing mislabeling of organic white button mushrooms (A garicus bisporus) combining NMR-based foodomics, statistical, and machine learni ng approach]

    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 Machine Learning is th e subject of a report. According to newsreporting originating from Belgrade, Se rbia, by NewsRx correspondents, research stated, “Organic foodsare among the mo st susceptible to fraud and mislabeling since the differentiation between organi c and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiationmodel that combines nuclear magnetic resonan ce (NMR), statistical approach (principal componentanalysis - PCA and partial l east square discriminant analysis - PLS-DA), and classification artificial neural network (cANN).”

    Institute of General and Physical Chemistry Reports Findings in Machine Learning [Preventing mislabeling of organic white button mushrooms (A garicus bisporus) combining NMR-based foodomics, statistical, and machine learni ng approach]

    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 Machine Learning is th e subject of a report. According to newsreporting originating from Belgrade, Se rbia, by NewsRx correspondents, research stated, “Organic foodsare among the mo st susceptible to fraud and mislabeling since the differentiation between organi c and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiationmodel that combines nuclear magnetic resonan ce (NMR), statistical approach (principal componentanalysis - PCA and partial l east square discriminant analysis - PLS-DA), and classification artificial neural network (cANN).”

    Xiangtan University Reports Findings in Colon Cancer (Prediction of mucinous ade nocarcinoma in colorectal cancer with mucinous components detected in preoperati ve biopsy diagnosis)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Colon Cance r is the subject of a report. Accordingto news originating from Xiangtan, Peopl e’s Republic of China, by NewsRx correspondents, researchstated, “Endoscopic bi opsy diagnosis for the preoperative assessment of mucinous components in patients with colorectal cancer is limited. This study investigated a radiomics model a nd established an explainableprediction model by using machine learning to diff erentiate between adenocarcinoma with mucinouscomponents and mucinous adenocarc inoma.”

    Xiangtan University Reports Findings in Colon Cancer (Prediction of mucinous ade nocarcinoma in colorectal cancer with mucinous components detected in preoperati ve biopsy diagnosis)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Colon Cance r is the subject of a report. Accordingto news originating from Xiangtan, Peopl e’s Republic of China, by NewsRx correspondents, researchstated, “Endoscopic bi opsy diagnosis for the preoperative assessment of mucinous components in patients with colorectal cancer is limited. This study investigated a radiomics model a nd established an explainableprediction model by using machine learning to diff erentiate between adenocarcinoma with mucinouscomponents and mucinous adenocarc inoma.”