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    Guangzhou University Researcher Advances Knowledge in Machine Learning (Intrusio n Detection Based on Adaptive Sample Distribution Dual-Experience Replay Reinfor cement Learning)

    76-76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 newsreporting from Guangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated, “In orderto cop e with ever-evolving and increasing cyber threats, intrusion detection systems h ave become a crucialcomponent of cyber security.”

    New Findings on Machine Learning Described by Investigators at Minzu University of China (From Fundamental Signals To Stock Volatility: a Machine Learning Appro ach)

    77-78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 fromBeijing, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Enriched with a large set of acco unting-based characteristics, we find that the aggregate fundamental risk, const ructed with severalmachine learning algorithms, predicts stock return volatilit y. We find that nonlinear models, especiallyneural networks, outperform linear methods and single characteristics and attribute the improvements inprediction accuracy to their ability to capture nonlinear patterns.”

    Xidian University Researchers Publish New Study Findings on Machine Learning (Ma chine Learning-Based Figure of Merit Model of SIPOS Modulated Drift Region for U -MOSFET)

    77-77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 Xi’an, People’s Republic of China, by NewsRx editors, research stated, “This paperpres ents a machine learning-based figure of merit model for superjunction (SJ) U-MOS FET (SSJ-UMOS)with a modulated drift region utilizing semi-insulating poly-crys talline silicon (SIPOS) pillars.”

    Studies from Hubei University of Technology Update Current Data on Robotics (YOL Ov8-PoseBoost: Advancements in Multimodal Robot Pose Keypoint Detection)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reporting fromWuhan, People’s Republic of China, by NewsRx journalists, research stated, “In the field of multimodalrobotics, a chieving comprehensive and accurate perception of the surrounding environment is a highlysought-after objective. However, current methods still have limitation s in motion keypoint detection,especially in scenarios involving small target d etection and complex scenes.”

    New Robotics Data Have Been Reported by Investigators at Qingdao University of T echnology (3d Printing Bio-inspired Micro Soft Robot With Programming Magnetic E lastic Composites)

    79-80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 reportingout of Qingdao, People’s Republic o f China, by NewsRx editors, research stated, “Bio-inspired micro softrobots mim ic biologically specific body structures and movement mechanisms by utilizing bi onic principles.Because of its soft body, it can adapt to complex external envi ronments.”

    Yangzhou University Researchers Describe Findings in Machine Learning (Machine-L earning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective)

    80-81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 originating fromYangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Accurately predictingpla nt cuticle-air partition coefficients (* * K* * [ [ca] ] ) is essential for assessing the eco logical risk oforganic pollutants and elucidating their partitioning mechanisms .”

    Reports Outline Machine Learning Study Findings from Iran Universityof Science and Technology (A novel systematic approach for robust numerical simulation of c arbon fiber-reinforced plastic circular tubes: Utilizing machine-learning techni ques …)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting from Tehran,Iran, by NewsRx journalists , research stated, “Developing a reliable and robust finite element model of ac arbon fiber-reinforced plastic (CFRP) composite structure is investigated by usi ng the LS-DYNA solverand Python.”

    New Machine Learning Findings from University of Oklahoma Reported [Adapting Subseasonal-to-seasonal (S2s) Precipitation Forecast At Watersheds for Hydrologic Ensemble Streamflow Forecasting With a Machine Learning-based Post-pr ocessing Approach]

    82-83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 reportingoriginating in Norman, Oklahoma, by NewsRx journalists, research stated, “Accurate and reliable precipitationpredic tions made by dynamical forecast models could provide crucial information for hu mansocioeconomic activities by enabling hydrologic forecasts at the Subseasonal -to-Seasonal (S2S) timescale.To utilize available S2S precipitation predictions for hydrologic forecasts, post-processing techniques havebeen applied to adapt the raw S2S precipitation to local watersheds.”

    Data on Myopia Reported by Min Hu and Colleagues (Systematic evaluation of machi ne learning-enhanced trifocal IOL power selection for axial myopia cataract pati ents)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Eye Diseases and Condi tions - Myopia is the subject of a report.According to news reporting from Chan gsha, People’s Republic of China, by NewsRx journalists, researchstated, “This study aimed to evaluate and optimize intraocular lens (IOL) power selection for cataractpatients with high axial myopia receiving trifocal IOLs. A multi-center , retrospective observational caseseries was conducted.”

    University of British Columbia Reports Findings in Machine Learning (Using machi ne learning with atomistic surface and local water features to predict heterogen eous ice nucleation)

    84-85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 in Vancouver, Can ada, by NewsRx journalists, research stated, “Heterogeneous icenucleation (HIN) has applications in climate science, nanotechnology, and cryopreservation. Ice nucleationon the earth’s surface or in the atmosphere usually occurs heterogene ously involving foreign substrates,known as ice nucleating particles (INPs).”