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    Reports from University of Modena and Reggio Emilia Add New Study Findings to Re search in Artificial Intelligence (Combining large language models with enterpri se knowledge graphs: a perspective on enhanced natural language understanding)

    86-87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 Modena, Italy, by New sRx correspondents, research stated, “Knowledge Graphs (KGs)have revolutionized knowledge representation, enabling a graph-structured framework where entities andtheir interrelations are systematically organized.”Funders for this research include Regione Emilia-romagna.

    University of Manchester Reports Findings in Robotics (Grasp and remember: the impact of human and robotic actions on object preference and memory)

    87-87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 reportingoriginating from Manchester, United K ingdom, by NewsRx correspondents, research stated, “Goal contagion,the tendency to adopt others’ goals, significantly impacts cognitive processes, which gains particularimportance in the emerging field of human-robot interactions. The pre sent study explored how observinghuman versus robotic actions affects preferenc e and memory.”

    Study Results from Harbin Institute of Technology Update Understanding of Machin e Learning (Real-time Seismic Damage Simulation for Urban Building Portfolio Bas ed On Basic Building Information and Machine Learning)

    88-88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 newsreporting out of Harbin, People’s Rep ublic of China, by NewsRx editors, research stated, “Timely andaccurate simulat ion of seismic damage of the urban building portfolio is essential for pre-earth quakeplanning and post-earthquake rescue. This study proposes a real-time seism ic damage simulation methodfor the urban building portfolio based on the multip le degree-offreedom (MDOF) shear and flexural-shearmodel established by basic b uilding information and machine learning.”

    Reports from International Islamic University Malaysia Advance Knowledge in Mach ine Learning (Damage Detection In Concrete Structures With Impedance Data and Ma chine Learning)

    89-90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 newsoriginating from Kuala Lumpur, Malaysia , by NewsRx correspondents, research stated, “This study aimsto evaluate the ef fectiveness of machine learning (ML) models in predicting concrete damage usingelectromechanical impedance (EMI) data. From numerous experimental evidence, the damaged mortarsample with surface-mounted piezoelectric (PZT) material connect ed to the EMI response was assessed.”Financial support for this research came from TFW2020 scheme of Kulliyyah of Eng ineering, InternationalIslamic University Malaysia.

    New Findings Reported from Tsinghua University Describe Advances in Machine Lear ning (Seismic risk assessment and damage analysis: Emerging trends and new devel opments)

    89-89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 Beijing , People’s Republic of China, by NewsRx editors, research stated, “Earthquakesa re major catastrophes that cause great life and economic losses to human society and environment.”Financial supporters for this research include Chinese Academy of Engineering; D iscipline And Specialty,And Construction Foundation of Colleges And Universitie s of Guangdong Province; National AerospaceScience Foundation of China.

    Findings in Robotics Reported from Tsinghua University (A Symmetrical Arrangemen t Strategy Based Real-time Toolpath Planning Method for a 5-dof Fully Parallel M achining Robot)

    90-91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 reportingoriginating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “A 5-DoF fullyparallel machining robot (PMR) with attitude coupling motion property holds the potentia l to realize thehigh-efficiency and high-quality machining of complex parts wit h curved surfaces. Mechanistically, thistype of 5-DoF fully PMR can achieve no singularity in the workspace after optimum design, allowing themobile platform to be adjusted to an arbitrary orientation directly and flexibly.”

    Researchers at South Carolina State University Release New Study Findings on Art ificial Intelligence (Prediction of bike-sharing station demand using explainabl e artificial intelligence)

    91-92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 originatingfrom Orangeburg, South Caro lina, by NewsRx correspondents, research stated, “Bike-sharing systems havegrow n in popularity in metropolitan areas, providing a handy and environmentally fri endly transportationchoice for commuters and visitors alike.”

    Researcher from Jaypee Institute of Information Technology Publishes New Studies and Findings in the Area of Machine Learning (Innovative Approaches in Resident ial Solar Electricity: Forecasting and Fault Detection Using Machine Learning)

    92-93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 originatingfrom Noida, India, by NewsRx edi tors, the research stated, “Recent advancements in residential solarelectricity have revolutionized sustainable development.”Our news editors obtained a quote from the research from Jaypee Institute of Inf ormation Technology:“This paper introduces a methodology leveraging machine lea rning to forecast solar panels’ poweroutput based on weather and air pollution parameters, along with an automated model for fault detection.Innovations in hi gh-efficiency solar panels and advanced energy storage systems ensure reliable e lectricitysupply. Smart inverters and grid-tied systems enhance energy manageme nt. Government incentives anddecreasing installation costs have increased solar power accessibility.”

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at University of Sfax (Bearing Fault Diagnosis Based On Artificial Intelligence Methods: Machine Learning and Deep Learning)

    93-94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 originating in Sfax, Tunisia , by NewsRx journalists, research stated, “This paper presents acomprehensive s tudy on the application of Artificial Intelligence (AI) methods, specifically ma chine learningand deep learning, for the diagnosis of bearing faults. The study explores both data preprocessing-dependentmethods (Support Vector Machine, Nea rest Neighbor, and Decision Tree) and a preprocessing-independentmethod (1D Con volutional Neural Network).”

    New Machine Learning Findings from University of Technology Discussed (Mechanism s of Sand Production, Prediction-a Review and the Potential for Fiber Optic Tech nology and Machine Learning In Monitoring)

    94-95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 originating fromSeri Iskandar, Malaysia, by NewsRx correspondents, research stated, “Sand control is an ongoing challengein numer ous hydrocarbon-producing wells in sand-rich reservoirs. Sand production in thes e wells can causedamage to equipment, reduce production rates, and lead to eros ion that can damage subsea equipment,production equipment, well completions, an d surface facilities.”