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    Studies from Shandong University Reveal New Findings on MachineLearning (Machin e learning aided design of single-atom alloy catalysts for methane cracking)

    29-29页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsreporting out of Shandong University b y NewsRx editors, research stated, “The process of CH4 crackinginto H2 and carb on has gained wide attention for hydrogen production.”
      原文链接:
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    Data on Machine Learning Reported by Andrea Campagner and Colleagues (Second opi nion machine learning for fast-track pathway assignment in hip and knee replacem ent surgery: the use of patientreported outcome measures)

    30-31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 Milan, Italy, by NewsRx journalists, research stated, “The frequency of hip andknee arthropla sty surgeries has been rising steadily in recent decades. This trend is attribut ed to an agingpopulation, leading to increased demands on healthcare systems.”
      原文链接:
    • NETL
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    Research from Institute of Geodesy and Photogrammetry Broadens Understanding of Machine Learning (Determination of highprecisiontropospheric delays using crow dsourced smartphone GNSS data)

    32-32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 artificial intelligence is now available. According to news reportingout of Zurich, Switzerland, by Ne wsRx editors, research stated, “The Global Navigation Satellite System(GNSS) is a key asset for tropospheric monitoring. Currently, GNSS meteorology relies pri marily ongeodetic-grade stations.”
      原文链接:
    • NETL
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    Investigators at University of California Berkeley Report Findingsin Machine Le arning (Advancing Programmable Metamaterials Through Machine Learning-driven Buc kling Strength Optimization)

    33-33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 Berkeley, Cal ifornia, by NewsRx journalists, research stated, “Metamaterials arespecially en gineered materials distinguished by their unique properties not typically seen I n naturally occurringmaterials. However, the challenge lies in achieving lightw eight yet mechanically rigid architectures,as these properties are sometimes co nflicting.”
      原文链接:
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    Researchers from Renmin University of China Report Findings in Machine Learning (A Mechanism Design Approach for Multi-party Machine Learning)

    34-34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 tonews reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “In amulti-party m achine learning system, different parties cooperate on optimizing towards better models bysharing data in a privacy-preserving way. A major challenge in learni ng is the incentive issue.”
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    Findings on Machine Learning Reported by Investigators at Universityof Tennesse e (Afsd-nets: a Physics-informed Machine Learning Model for Predicting the Tempe rature Evolution During Additive Friction Stir Deposition)

    35-35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 Machine Learning. According to news reportingfrom Knoxville, Tennessee, by News Rx journalists, research stated, “This study models the temperatureevolution du ring additive friction stir deposition (AFSD) using machine learning. AFSD is a solid-stateadditive manufacturing technology that deposits metal using plastic flow without melting.”
      原文链接:
    • NETL
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    Studies from Capital Medical University Describe New Findings inSupport Vector Machines (An MRI radiomics approach to discriminatehaemorrhage-prone intracrani al tumours before stereotactic biopsy)

    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 . According to news reporting from CapitalMedical University by NewsRx journalist s, research stated, “To explore imaging biomarkers predictive ofintratumoral ha emorrhage for lesions intended for elective stereotactic biopsy. This study incl uded aretrospective cohort of 143 patients with 175 intracranial lesions intend ed for stereotactic biopsy.”
      原文链接:
    • NETL
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    Imperial College London Reports Findings in Basal Cell Cancer (Metabolomic profi ling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning)

    37-37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 - Basal Cell Cancer is the subject of a report. Accordingto news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated,“Basal cell c arcinoma (BCC), the most common keratinocyte cancer, presents a substantial publ ic healthchallenge due to its high prevalence. Traditional diagnostic methods, which rely on visual examination andhistopathological analysis, do not include metabolomic data.”
      原文链接:
    • NETL
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    New Findings from Stanford University in the Area of Machine Learning Reported ( Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning)

    38-38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 out of Stanford, California, by NewsRx editors, research stated, “The intensity of an atmosphericriver (AR) is only one of the factors influencing the damage it will cause. We use random forest models fitto hazard, exposure, and vulnerability data at different spati al and temporal scales in California to predictthe probability that a given AR event will cause flood damage, as measured by National Flood InsuranceProgram ( NFIP) claims.”
      原文链接:
    • NETL
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    New Study Findings from Obuda University Illuminate Research in Robotics (Sensor -Enhanced Smart Gripper Development for Automated Meat Processing)

    39-39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 robotics have been published. According to news originatingfrom Budapest, Hungary, by NewsRx editors, the research stated, “Grasping and object manipulation havebeen consi dered key domains of Cyber-Physical Systems (CPS) since the beginning of automat ion, asthey are the most common interactions between systems, or a system and i ts environment.”
      原文链接:
    • NETL
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