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    Findings from Fujian Normal University in the Area of Machine Learning Reported (A Fast and Highly Efficient Strategy for Detection of Camellia Oil Adulteration Using Machine Learning Assisted Sers)

    30-30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 reportingoriginating from Fujian, People’s Republ ic of China, by NewsRx correspondents, research stated, “Camelliaoil (CAO) is a high-quality edible vegetable oil, commonly known as ‘Oriental olive oil,’ with medical valueand biological activity, but easily adulterated. Currently, we de veloped a method that combines SurfaceEnhanced Raman Spectroscopy (SERS) with m achine learning for the effective identification of camelliaoil.”

    Recent Research from National Dairy Research Institute Highlight Findings in Mac hine Learning (A Comprehensive Review of the Dairy Pasteurization Process Using Machine Learning Models)

    31-31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 to newsoriginating from Haryana, India, by N ewsRx correspondents, research stated, “Machine learning (ML) isan efficacious tool that can be employed to enhance the pasteurization process through several means.This paper provides an analysis of the present advancements in ML-based p asteurization solutions andemphasizes the potential advantages that ML can offe r to the pasteurization process in the dairy sector.”

    Studies from Nanjing University of Finance and Economics Describe New Findings I n Artificial Intelligence (Unlocking Innovation Potential: the Impact of Artific ial Intelligence Transformation On Enterprise Innovation Capacity)

    32-32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 Nanjing , People’s Republic of China, by NewsRx journalists, research stated,“Building upon the resource-based view (RBV) and related research, this paper empirically examines theimpact and specific mechanisms of artificial intelligence transform ation on corporate innovation capabilities.It provides micro-level evidence of AI’s influence on innovation behavior.”

    Data from Southwest Forestry University Provide New Insights into Machine Learni ng (Forest aboveground biomass estimation based on spaceborne LiDAR combining ma chine learning model and geostatistical method)

    33-33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 Kunming, People’s Repu blic of China, by NewsRx editors, research stated, “Estimation of forestbiomass at regional scale based on GEDI spaceborne LiDAR data is of great significance for forest qualityassessment and carbon cycle.”

    Istanbul University-Cerrahpasa Reports Findings in Stroke (The Effects of Robot- Asssissted Gait Training on Balance and Fear of Falling in Patients with Stroke: A Randomized Controlled Clinical Trial)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject of areport. According to news reporti ng from Istanbul, Turkey, by NewsRx journalists, research stated, “Theaim of th is study was compare the effects of Combined Training (CombT), which included Ro bot-AssistedGait Training in addition to Traditional Balance Training (TBT), an d TBT alone on balance and fear offalling (FoF) in patients with stroke based o n objective assessment methods. Patients were randomizedinto CombT Group (CombT G) (n = 21) and TBT Group (TBTG) (n = 21) for duration of 5-weeks.”

    Data on Machine Learning Discussed by Researchers at South China University of T echnology (Prediction and Explanation of Properties In Multicomponent Polyuretha ne Elastomers: Integrating Molecular Dynamics and Machine Learning)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting originatingin Guangdong, People’s Rep ublic of China, by NewsRx journalists, research stated, “Establishingquantitati ve connections among the chemical composition, molecular structure, and macrosco pic propertiesof multicomponent polyurethane elastomers remains a challenging t ask. Molecular dynamics (MD)has been extensively utilized in the study of vario us materials and serves as a crucial tool for exploring therelationship between structure and properties.”

    Central South University Reports Findings in Cancer (Data - Knowledge driven mac hine learning model for cancer pain medication decisions)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reportingoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Cancer pain is one o f the most common symptoms in cancer patients, and drug decision-making incance r pain management remains challenges. This study aims to develop machine learnin g models usingreal-world clinical data and prior knowledge to support drug deci sion-making in cancer pain management.”

    New Findings in Artificial Intelligence Described from Tsinghua University (GPT understands, too)

    36-36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 newsoriginating from Tsinghua University b y NewsRx editors, the research stated, “Prompting a pretrainedlanguage model wi th natural language patterns has been proved effective for natural language understanding (NLU).”

    University of Lorraine Reports Findings in Heart Failure (Machine learning appro ach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction)

    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 Heart Disorders and Di seases - Heart Failure is the subject of areport. According to news reporting o riginating in Nancy, France, by NewsRx journalists, research stated,“Patients e xperiencing ischaemic heart failure with reduced ejection fraction (HFrEF) repre sent a diversegroup. We hypothesize that machine learning clustering can help s eparate distinctive patient phenotypes,paving the way for personalized manageme nt.”

    Researcher at Complutense University of Madrid Publishes Research in Artificial Intelligence (Artificial Intelligence in Slow Journalism: Journalists’ Uses, Per ceptions, and Attitudes)

    38-39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 reportingfrom Madrid, Spain, by NewsRx journalists, research stated, “Through long-form, creative, high-qualitystorie s, slow journalism seeks to counteract the effects of speed and immediacy in new s production andconsumption primarily driven by technological advancements.”