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    New Findings from China University of Geosciences in the Area of Artificial Inte lligence Described (Explainable Artificial Intelligence Models for Mineral Prosp ectivity Mapping)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. According tonews reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Mineralprospec tivity mapping (MPM) is designed to reduce the exploration search space by combi ning andanalyzing geological prospecting big data. Such geological big data are too large and complex for humansto effectively handle and interpret.”

    Chongqing Industry Polytechnic College Researcher Reports Research in Artificial Intelligence (Design of Improved Artificial Intelligence Generative Dialogue Al gorithm and Dialogue System Model Based on Knowledge Graph)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news reporting out ofChongqing, People’s Repub lic of China, by NewsRx editors, research stated, “Dialogue systems are an important research direction in artificial intelligence, with broad application prosp ects and market value. In orderto improve system efficiency and user satisfacti on, an open domain generative dialogue system integratingknowledge graphs has b een developed, which facilitates the utilization of rich background knowledge during dialogue generation, thereby generating more coherent and meaningful dialog ue content.”

    Reports from Multimedia University Add New Study Findings to Research in Machine Learning (Machine Learning and Image Processing-Based System for Identifying Mu shrooms Species in Malaysia)

    50-50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 Melaka, Malaysia, by NewsRx correspondents, research stated, “Malaysia, a country witha tropical cli mate characterized by consistent warmth and year-long high humidity, houses the perfectconditions for mushroom growth.”

    Data from University of Aquila Provide New Insights into Machine Learning (Machi ne-learning-aided Regional Post-seismic Usability Prediction of Buildings: 2016- 2017 Central Italy Earthquakes)

    50-51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 newsoriginating from L’Aquila, Italy, by N ewsRx correspondents, research stated, “This study addresses thedevelopment of machine learning models for predicting the postseismic buildings usability withi n regions prone to frequent earthquakes. The analysis leverages on field data fr om 2016-2017 Central Italy earthquakes.”

    Reports from University of Melbourne Provide New Insights into Artificial Intell igence (An Artificial Intelligence Framework for Predicting Operational Energy C onsumption In Office Buildings)

    51-52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 Melbourne, Australia, by NewsRx editors, research stated, “This research delves into the intricatedyn amics of energy consumption in buildings, using data-driven modeling with machin e learning (ML)algorithms to optimize design choices for heightened energy effi ciency. A substantial dataset, comprising66,800 operational energy records from office buildings in 40 cities worldwide representing 10 distinctclimate condit ions, was analyzed using four ML algorithms: Random Forest Regressor, Extra Tree sRegressor, Gradient Boosting Regressor (GBR), and eXtreme Gradient Boosting Re gressor (XGBR).”

    Researchers from Ohio State University Report on Findings in Robotics (A Complia nt Hinge Joint Driven By the Pneunets Bending Actuator)

    52-53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 Robotic s. According to news reporting out of Columbus,Ohio, by NewsRx editors, researc h stated, “While soft robots enjoy the benefits of high adaptability andsafety, their inherent flexibility makes them suffer from low load-carrying capacity an d motion precision,which limits their applications to a broader range of fields . To address this problem, we propose anovel compliant hinge joint with a stiff backbone for load-carrying coupled with soft pneumatic networks(PneuNets) bend ing actuators.”

    Studies from U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in the Area of Escherichia coli Described (Using Machine Learning Models To Estimate escherichia Coli Concentration In an Irrigation Pond From Water …)

    53-54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 Gram-Ne gative Bacteria - Escherichia coli. Accordingto news originating from Beltsvill e, Maryland, by NewsRx correspondents, research stated, “The rapid andefficient quantification of Escherichia coli concentrations is crucial for monitoring wat er quality. Remotesensing techniques and machine learning algorithms have been used to detect E. coli in water and estimateits concentrations.”

    Data on Machine Learning Discussed by Researchers at Tsinghua University (Transf erable Machine Learning Model for the Aerodynamic Prediction of Swept Wings)

    54-55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 Beijing, People’s Republic of China, by NewsRx journalists, research stated, “With their development,machine learning models can be used instead of computational fluid dynamics simulations to predict flowfields in aerodynamic optimization. However, it is difficult to construct a prediction model for swept wingswith various planform geometries b ecause too many samples are required to cover the parameter space.”

    Researcher at Sejong University Describes Research in Artificial Intelligence (T ime-Series Explanatory Fault Prediction Framework for Marine Main Engine Using E xplainable Artificial Intelligence)

    55-56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 Seoul, South K orea, by NewsRx editors, the research stated, “As engine monitoringdata has bec ome more complex with an increasing number of sensors, fault prediction based on artificialintelligence (AI) has emerged.”

    University of Leipzig Reports Findings in Machine Learning (Machine learning alg orithms predict canine structural epilepsy with high accuracy)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting outof Leipzig, Germany, by NewsRx edito rs, research stated, “Clinical reasoning in veterinary medicine isoften based o n clinicians’ personal experience in combination with information derived from p ublicationsdescribing cohorts of patients. Studies on the use of scientific met hods for patient individual decisionmaking are largely lacking.”