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    Study Findings on Machine Learning Described by Researchers at Arts et Metiers I nstitute of Technology (A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from the Arts et M etiers Institute of Technology by NewsRx journalists, research stated, “The simu lation of magnetic bearings involves highly non-linear physics, with high depend ency on the input variation.”

    Investigators at Huazhong University of Science and Technology Report Findings i n Robotics (Grain Shape-protrusion-based Modeling and Analysis of Material Remov al In Robotic Belt Grinding)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “The accurate prediction of material re moval (MR) remains a persistent challenge in the field of robotic belt grinding, particularly with the consideration of the stochastic nature of abrasive grains . Starting from the characteristics that abrasive grains with different shapes p articipate in grinding, this work presents a novel MR model that extends from mi croscopic grain-workpiece interaction to macroscopic wheel-curved surface contac t.”

    Researcher from National Institute of Technology Reports on Findings in Machine Learning (Analysis and prediction of erosion behavior of epoxy composites using statistical and machine learning techniques)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting out of Odisha, India , by NewsRx editors, research stated, “This work reports on the application of d ifferent machine learning (ML) techniques and statistical methods to analyze and predict the erosion wear performance of ramie fiber-reinforced epoxy composites .”

    Study Results from Chinese Academy of Sciences Provide New Insights into Robotic s and Automation (An Ultra-fast Intrinsic Contact Sensing Method for Medical Ins truments With Arbitrary Shape)

    50-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating in Beijing , People’s Republic of China, by NewsRx journalists, research stated, “Intraoper ative contact sensing has the potential to reduce the risk of surgical errors an d enhance manipulation capabilities for medical robots, particularly in contact force control. Current intrinsic force sensing (IFS) methods are limited in appl ication to medical instruments with arbitrary shape, due to high computational t ime and reliance on surface equations.”

    Researchers from Birla Institute of Technology Discuss Findings in Machine Learn ing (Discernment of Complex Lithologies Utilizing Different Scattering and Textu ral Components of Sar and Optical Data Through Machine Learning Approaches In .. .)

    51-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Jharkhand, I ndia, by NewsRx journalists, research stated, “Accurate lithological mapping is a difficult task through standard image processing techniques. We utilize the ap plication of different machine learning (ML) algorithms on dual polarimetric syn thetic aperture radar (SAR), optical data, and surface elevation images to map v arious lithologies in parts of Jaisalmer district of Rajasthan, India.”

    Research Reports from McGill University Provide New Insights into Machine Learni ng (Explaining the GWSkyNet-Multi Machine Learning Classifier Predictions for Gr avitational-wave Events)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in artificial intelli gence. According to news originating from Montreal, Canada, by NewsRx editors, t he research stated, “GWSkyNet-Multi is a machine learning model developed for th e classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited information released in the low-lat ency Open Public Alerts to produce prediction scores indicating whether an event is a merger of two black holes (BHs), a merger involving a neutron star (NS), o r a non-astrophysical glitch.”

    Study Findings on Machine Learning Discussed by Researchers at Sun Yat-sen Unive rsity (Remote monitoring of water clarity in coastal oceans of the Guangdong-Hon g Kong-Macao Greater Bay Area, China based on machine learning)

    53-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting originating from Zhuhai, Peop le’s Republic of China, by NewsRx correspondents, research stated, “The developm ent of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), one of the most dev eloped and densely populated regions in China, has posed an increasing threat to the health of the water environment in adjacent coastal oceans. However, the sp atiotemporal variations of water clarity in the coastal oceans of the GBA (COGBA ) have not been well-documented.”

    Researchers’ Work from Hunan University Focuses on Machine Learning (Understandi ng the Importance of Four-phonon Scattering In Low-symmetry Monolayer 1t’-res2 U sing Machine Learning Potential)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Xiangtan, Peop le’s Republic of China, by NewsRx editors, research stated, “The importance of h igher-order anharmonic effects on thermal transport has recently been demonstrat ed in highly symmetrical 2D materials with large acoustic-phonon (A-O) gap. Howe ver, the phonon scattering and the thermal transport properties in low-symmetry structures remain ambiguous.”

    New Robotics Data Have Been Reported by Investigators at Beijing Forestry Univer sity (A Novel Forestry Information-collecting Mobile System)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Automatic forestry mobile system is needed to perform the information-collecting tasks, which could not only improv e the efficiency but also free the mankind from the heavy labour. In this paper, a set of automatic system is proposed.”

    Ain Shams University Reports Findings in Machine Learning (Simplex Lattice Desig n and Machine Learning Methods for the Optimization of Novel Microemulsion Syste ms to Enhance p-Coumaric Acid Oral Bioavailability: In Vitro and In Vivo Studies )

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Cairo, Egypt , by NewsRx correspondents, research stated, “Novel p-coumaric acid microemulsio n systems were developed to circumvent its absorption and bioavailability challe nges. Simplex-lattice mixture design and machine learning methods were employed for optimization.”