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    Reports Outline Machine Learning Study Results from Ministry of Ecology and Envi ronment (Hydrogeochemical Characteristics and Formation Mechanisms of High-Arsen ic Groundwater in the North China Plain: Insights from Hydrogeochemical Analysis and …)

    19-20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. Accordingto news reporting originating fr om Beijing, People’s Republic of China, by NewsRx correspondents,research state d, “Hydrochemical data were utilized in this study to elucidate the hydrogeochem ical characteristicsand genesis of high-arsenic groundwater in the North China Plain, employing both traditionalhydrogeochemical analysis and unsupervised mac hine learning techniques.”

    Studies from University of Salamanca Add New Findings in the Area of Artificial Intelligence (Integrating artificial intelligence into the simulation of structu red laser-driven high harmonic generation)

    20-20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 artificial in telligence have been published. According to newsoriginating from the Universit y of Salamanca by NewsRx editors, the research stated, “High harmonicgeneration (HHG) stands as one of the most complex processes in strong-field physics, as i t enables theconversion of laser light from the infrared to the extreme-ultravi olet or even the soft x-rays, enabling thesynthesis and control of pulses lasti ng as short as tens of attoseconds.”

    Data on Robotics Discussed by Researchers at Harbin Institute of Technology (Fle xible Continuum Robot With Variable Stiffness, Shape-aware, and Self-heating Cap abilities)

    21-22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 reportingout of Harbin, People’s Republic of C hina, by NewsRx editors, research stated, “Conventional continuumrobots have ou tstanding flexibility and dexterity. However, when the robot needs to interact w ith theenvironment, the softness may affect the performance of the robot.”

    Reshetnev Siberian State University of Science and Technology Researchers Add Ne w Study Findings to Research in Machine Learning (Analysis of geochemical charac teristics of rocks using machine learning methods)

    21-21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 R eshetnev Siberian State University of Science and Technology by NewsRxcorrespon dents, research stated, “This work is devoted to the classification of rock type s based on theirgeochemical characteristics using machine learning methods.”

    Study Results from Qingdao University of Science and Technology in the Area of M achine Learning Reported (Machine Learning Assisted Selection of Catalyst for G- valerolactone Hydrogenation From Levulinic Acid)

    22-23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 originatingfrom Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “The preparationof gamma-v alerolactone by levulinic acid (LA) hydrogenation is green, efficient, and econo mical, but thetraditional catalyst selection and optimization methods have low efficiency and high cost, which cannotmeet the development needs of the chemica l industry. To this end, we conducted new research to develop amachine learning framework to predict LA conversion and gamma-valerolactone yield, accelerating catalystselection and optimization.”

    Researchers from Jiangnan University Provide Details of New Studies and Findings in the Area of Machine Learning [Prediction of Critical Mice lle Concentration (Cmc) of Surfactants Based On Structural Differentiation Using Machine Learning]

    23-24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 Wuxi, People’s Republic of Chin a, by NewsRx journalists, research stated, “Measuring the criticalmicelle conce ntration (CMC) of surfactants holds significant importance in comprehending thei r interfacialproperties. However, traditional methods suffer from issues such a s lengthy testing durations, lowexperimental accuracy, and the complexity of th eoretical calculations.”

    Researchers from Southern University of Science and Technology (SUSTech) Report Details of New Studies and Findings in the Area of Androids (Softening Nonlinear -stiffness Elastic Mechanism With Continuous Adjustability for Human-robot …)

    24-25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 - An droids have been published. According to newsreporting originating from Guangdo ng, People’s Republic of China, by NewsRx correspondents, researchstated, “Huma n-robot interaction of human augmentation robots presents a considerable challen ge inachieving accurate and robust interaction force control. This paper propos es a novel softening nonlinearelastic mechanism with continuous adjustability ( SNEMA) to address this challenge.”

    New Machine Learning Findings from University of Freiburg Described (Introducing New Morphometric Parameters To ImproveUrban Canopy Air Flow Modeling: a Cfd To Machine-learning Study In Real Urban Environments)

    25-26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 Freiburg, Ge rmany, by NewsRx correspondents, research stated, “This studyproposes a machine learning (ML) framework generating spatially-distributed mean wind fields at a givenheight above ground within arbitrary urban canopy geometries. The framewor k is based on the RandomForest formulation and is trained using building resolv ing large-eddy simulations of flow over a range ofrealistic urban environments. ”

    New Findings from School of Mechanical Engineering and Automation Update Underst anding of Robotics and Automation (Differentiable Space Carving for 3d Reconstru ction Using Imaging Sonar)

    26-27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 Robotics - Robotics and Automation. Accordingto news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated,“Effective 3D r econstruction utilizing imaging sonars is vital for underwater robots, particula rly in turbidwater conditions. The absence of elevation angles in acoustic echo measurements significantly slows downthe Neural Radiance Field (NeRF) method.”

    Reports from King Fahd University of Petroleum and Minerals Add New Data to Rese arch in Machine Learning (Dimension Reduction Techniques for Machine Learning-Ba sed AC Microgrid Fault Diagnosis: A Systematic Review)

    27-28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 originating from Dhahran, Sa udi Arabia, by NewsRx editors, the research stated, “The integrationof inverter -interfaced sources into microgrids has led to new protection challenges due to fluctuating faultcurrents, bidirectional power flow, and low inertia. Tradition al protection methods are inadequate forthese evolving systems, necessitating t he development of novel, fast-acting, and cost-effective strategiesthat are ind ependent of fault current levels.”