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    Study Data from Uttarakhand Update Understanding of Machine Learning (A Hybrid M odel of Integrating Sentiment Analysis and Key Market Indicators for IPO Listing Trend Prediction)

    67-67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 newsoriginating from Uttarakhand, I ndia, by NewsRx editors, the research stated, “Initial Public Offerings(IPOs) p rovide great opportunities for companies to grow and expand, and they allow inve stors to investtheir money wisely to get a decent Return on Investment (ROI) in the short term.”

    Findings on Machine Learning Reported by Investigators at Chinese Academy of Sci ences (Ssl-vgmm: a Semisupervised Machine Learning Model of Multisource Data Fus ion for Lithology Prediction)

    67-68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 Ma chine Learning. According to news reportingfrom Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “In deep mineral explo-ration, it i s difficult to constrain the complex geological structures using a single geophy sical method. Totackle the difficulty, integrated geophysical surveys and joint data interpretation are essential.”

    Sun Yat-sen University Reports Findings in Machine Learning (Development and Ext ernal Validation of a Machine Learning-based Fall Prediction Model for Nursing H ome Residents: A Prospective Cohort Study)

    69-69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 Guangzhou, P eople’s Republic of China, by NewsRx correspondents, researchstated, “To develo p and externally validate a machine learning-based fall prediction model for amb ulatorynursing home residents. The focus is on predicting fall occurrences with in 6 months after baselineassessment through a binary classification task, aimi ng to provide staff with an effective and user-friendlyfall-risk assessment too l. Prospective cohort study.”

    Universiteit Antwerpen Researcher Yields New Study Findings on Artificial Intell igence (Classification of artificial intelligence techniques for early architect ural design stages)

    70-70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 from Antwerp, Belg ium, by NewsRx journalists, research stated, “This paper provides astrategic cl assification of artificial intelligence (AI) techniques based on a systematic li terature review andfour levels of potential: the levels of input, output, colla boration and creativity.”

    Studies from Army Medical University Update Current Data on Robotics (Rehabilita tion robot joint performance evaluation of a zero-spin traction drive with non-N ewtonian fluid considered)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on robotics is the subject of a new report. According to news originating fromChongqing, People’s Republic of China , by NewsRx correspondents, research stated, “In this study, azero-spin cone-ro ller traction drive (CRTD) is presented for the joints transmission system in re habilitationrobots due to its high transmission performance and characteristics of overload protection.”

    Investigators from National Remote Sensing Center Release New Data on Machine Le arning (Impact of Climate and Weather Extremes On Soybean and Wheat Yield Using Machine Learning Approach)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Telangana, India, by NewsRx editors, research stated, “The escalating climate instability and extremeweathe r events significantly jeopardize food security. The study assessed the impact o f long-term climaticvariables and extreme weather events on soybean and wheat y ields in rainfed central India.”

    Reports Outline Machine Learning Study Results from Nanjing University of Scienc e and Technology (Detection of the Irrotational Boundary Using Machine Learning Methods)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Nanjing, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Four machi ne learning methods, i.e., self-organizing map (SOM), Gaussian mixture model (GMM), eXtreme gradient boosting (XGBoost), and contrastive learning (CL), are used to detect the irrotationalboundary (IB), which represents the outer edge of th e turbulent and non-turbulent interface layer. Toaccurately evaluate the detect ion methods, high-resolution databases from direct numerical simulationsof a te mporally evolving turbulent plane jet are used.”

    Chinese University of Hong Kong Reports Findings in Robotics (Water-Induced Shap e-Locking Magnetic Robots)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news originating fromShenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Untethered magneticsoft rob ots capable of performing adaptive locomotion and shape reconfiguration open up possibilities forvarious applications owing to their flexibility. However, magn etic soft robots are typically composed ofsoft materials with fixed modulus, ma king them unable to exert or withstand substantial forces, whichlimits the expl oration of their new functionalities.”

    Studies from Hankyong National University Yield New Data on Support Vector Machi nes (Discrete Space Deep Reinforcement Learning Algorithm Based on Support Vecto r Machine Recursive Feature Elimination)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in . According to new s reporting originating from Gyeonggi Do, SouthKorea, by NewsRx correspondents, research stated, “Algorithms for training agents with experience replayhave ad vanced in several domains, primarily because prioritized experience replay (PER) developed fromthe double deep Q-network (DDQN) in deep reinforcement learning (DRL) has become a standard.”

    Bradley University Researcher Broadens Understanding of Machine Learning (Use of Machine Learning for Automated Classification of Sand Type)

    75-76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 artific ial intelligence. According to news reporting fromPeoria, Illinois, by NewsRx j ournalists, research stated, “This study demonstrates the feasibility of utilizing machine learning (ML) for routine identification of sand particles. Identifyi ng different types of sand isnecessary for various geotechnical exploration pro jects because understanding the specific sand type playsan important role in es timating the physical and mechanical properties of the soil.”