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    Wake Forest University Researcher Targets Artificial Intelligence (Impact of Art ificial Intelligence on Auditing and the Future of Human Workforce Replacement)

    67-68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 news originatingfrom Winston Salem, North Carolina, by NewsRx correspondents, research stated, “The advancements in artifi cial intelligence (AI) over the recent years have been drastic and stunning, and they have revolutionizedthe world in such ways as influencing the advancement of other fields such as accounting.”

    Researchers from Chulalongkorn University Publish Research in Artificial Intelli gence (Evaluating the influence of characteristics on the acceptance of artifici al intelligence application: An empirical study)

    68-69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 news reportingout of Bangkok, Thailand, by NewsRx editors, research stated, “Artificial intelligence has accelerated thea pplication scenarios and business value of map applications.”Our news journalists obtained a quote from the research from Chulalongkorn Unive rsity: “However, thesustained intention of map applications utilizing artificia l intelligence technology has not received sufficientattention and scholarly in vestigation. Therefore, this study constructs a theoretical model of the continuance intention of map applications, based on their characteristics and combined with user satisfaction andtrust, aiming to explore the influence mechanism of t his continuance intention. The results of structuralequation modeling show that not only user trust and satisfaction have a positive effect on continuance intention towards map applications, but also interactivity characteristics, reliabil ity characteristics, richnesscharacteristics, and personalized characteristics have a positive effect on user satisfaction and trust towardsmap applications.”

    Studies Conducted at King Mongkut’s Institute of Technology Ladkrabang on Machin e Learning Recently Published [Estimation of the Weight and V olume of Lime (* * Citrus aurantifolia* * (Christm.) Swingle) Fruit Using Comput er Vision Based on ...]

    69-70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 reportingoriginating from Bangkok, Tha iland, by NewsRx correspondents, research stated, “The post-harvestprocess is i mportant to increasing the market value of limes and requires focus.”

    New Artificial Intelligence Data Has Been Reported by a Researcher at University of Perugia (A Deep Learning Method for the Prediction of Pollutant Emissions fr om Internal Combustion Engines)

    70-71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 Perugia, Italy, by NewsR x journalists, research stated, “The increasing demand for vehicles is leadingt o a rise in pollutant emissions across the world.”

    University of Nottingham Researchers Publish New Data on Machine Learning (Machi ne Learning Pipeline for Energy and Environmental Prediction in Cold Storage Fac ilities)

    71-72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 new report. According to newsoriginating from Nottingham, United Kingdom, by NewsRx correspondents, research stated, “As energydemands a nd costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms isimportant for reducing expenses and achieving environmental sustainabi lity ambitions.”

    Researcher from Griffith University Details New Studies and Findings in the Area of Machine Learning (The Potential for Hyperspectral Imaging and Machine Learni ng to Classify Internal Quality Defects in Macadamia Nuts)

    72-72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 new report. According tonews reporting originating from N athan, Australia, by NewsRx correspondents, research stated, “Tree nutsare rich in nutrients, and global production and consumption have doubled during the las t decade.”Financial supporters for this research include Queensland Government.

    Researcher from ShanghaiTech University Details Findings in Machine Learning (He at diffusion coefficient study of polymers based on interpretable machine learni ng)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Shanghai, People ’s Republic of China, by NewsRx journalists, research stated, “Abstract.”The news journalists obtained a quote from the research from ShanghaiTech Univer sity: “Polymershold significant application value across various fields of mode rn society, with different application scenariosrequiring specific thermal diff usivity coefficients. Finding polymer materials with targeted thermal diffusivities is crucial. However, due to the vast variety and complex structures of polym ers, constructing a unifiedstructured dataset for machine learning modeling is challenging. Although machine learning has showngreat potential in materials sc ience, it has rarely been applied to predict the heat diffusion coefficient ofp olymers. This paper constructs a dataset for predicting the thermal diffusion co efficient of polymersusing a publicly available dataset by transforming the SMI LES code of polymers into eight features withpractical physical and chemical me anings. Using the Random Forest algorithm, training with 400 of thesedata and r andomly selecting 200 of them for cross-validation, the accuracy of the test set reached 0.9.”

    Studies from University of Burgos Have Provided New Data on Eye-Tracking Technol ogy (Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Techno logy: A Proposal for an Explanatory Fit Model)

    73-74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 eye-tracking technology. According to news reporting from Burgos, Spain, by News Rx journalists, research stated, “This study deals with an analysisof the cogni tive load indicators produced in virtual simulation tasks through supervised and unsupervisedmachine learning techniques.”

    Reports on Machine Learning from University of Putra Malaysia Provide New Insigh ts (N-alkane Profiles of Lard and Vegetable Oils, and Their Chemometrics Differe ntiation)

    74-75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 reporting outof Selangor, Malaysia, by NewsRx edit ors, research stated, “This research aims to examine fat fromvarious vegetable oils using n-alkane profiles, as well as chemometrics and machine learning. Unsa ponifiablevegetable oils (coconut, peanut, palm and soybean oils) were separate d and analysed using gaschromatography-mass spectrometry (GC-MS) to investigate the n-alkane profiles of each fat.”

    Study Data from School of Mechanical Engineering Update Understanding of Robotic s (Vibration Characteristics Analysis of Elderly-Robot Couple System for Transpo rting Posture of Elderly-Assistant Robot)

    75-76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 ro botics. According to news reporting originatingfrom the School of Mechanical En gineering by NewsRx correspondents, research stated, “With the growingelderly p opulation worldwide, it is crucial to develop an advanced elderly-assistant robo t that can assisthealthcare workers and reduce the care burden on society.”