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    Researchers at Tongji University Report New Data on Robotics (Roscom: Robust Saf e Reinforcement Learning On Stochastic Constraint Manifolds)

    47-48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 Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “ReinforcementLearnin g (RL) has demonstrated remarkable success across various domains. Nonetheless, a significantchallenge in RL is to ensure safety, particularly when deploying i t in safety-critical applications suchas robotics and autonomous driving.”

    Findings from University of Nevada Broaden Understanding of Robotics (Model-base d Performance Analysis of Twisted String Actuators With Comparison To Spooled Mo tor Tendon-driven Actuators)

    48-49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 Reno, Nevada, by New sRx journalists, research stated, “Twisted string actuators (TSA) exhibit desira ble traits for robotic applications like enabling high-force actuation. It is im portant tounderstand TSAs’ key performance metrics to allow for ubiquitous usag e.”

    Shenzhen Kangning Hospital Reports Findings in Depression (Spatiotemporal discoo rdination of brain spontaneous activity in major depressive disorder)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mental Health Diseases and Conditions - Depression is the subject ofa report. According to news repor ting originating from Shenzhen, People’s Republic of China, by NewsRxcorrespond ents, research stated, “Major depressive disorder (MDD) is a widespread mental h ealth issue,impacting spatial and temporal aspects of brain activity. The neura l mechanisms behind MDD remainunclear.”

    Research Data from Ningxia University Update Understanding of Machine Learning ( The Inversion of Arid-coastal Cultivated Soil Salinity Using Explainable Machine Learning and Sentinel-2)

    50-51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 originating from Yinchuan, People’s Republic of China, by NewsRx correspondents, researchstated, “The esca lating salinization of cultivated soil poses a significant threat to the ecologi cal environment.It is imperative to establish a monitoring system and mitigate the spread of salinization in aridand coastal areas through remote sensing, inc orporating high-precision cross-regional models for soil saltcontent inversion. ”

    Xiangya Hospital Central South University Reports Findings in Machine Learning ( Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study)

    51-52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 news reporting originating from Changsha, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Accurately predicting ovulation timing is critical for women undergoing natural cycle-froz enembryo transfer. However, the precise predicting of the ovulation timing rema ins challenging due to thelack of consensus among different clinics regarding t he definition of this significant event.”

    Study Findings on Robotics Are Outlined in Reports from University of Southern F lorida (Social-learning Coordination of Collaborative Multi-robot Systems Achiev es Resilient Production In a Smart Factory)

    52-53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 reportingfrom Tampa, Florida, by NewsRx jour nalists, research stated, “This paper presents a novel resilientproduction prob lem in a multi-robot system (MRS) driven smart factory that suffers diverse degr adation of accuracy among heterogeneous robots. The inevitable degradation in pr oduction robots’ accuracyundermines desirable productivity and efficiency.”

    Research Reports on Robotics from Assiut University Provide New Insights (Develo pment of a novel quadruped hybrid wheeled-legged mobile robot with telescopic le gs)

    53-54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 from Assiut, Egypt, by NewsRx correspondents, research stated, “This paper presents a novel design of a quadruped hybrid leg-wheel mobile robot comprising two DOFs (a prismatic joint and a revolutejoint) for the legs and one rotational joint for the wheel.”

    Data on Machine Learning Detailed by Researchers at University of Michigan (Brid ging Scales With Machine Learning: From First Principles Statistical Mechanics T o Continuum Phase Field Computations To Study Order-disorder Transitions In Li X Coo ...)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Ann Arbor,Michigan, by NewsRx editors, resea rch stated, “Li x TM O 2 (TM=Ni, Co, Mn) forms an importantfamily of cathode ma terials for Li -ion batteries, whose performance is strongly governed by Li composition -dependent crystal structure and phase stability. Here, we use Li x CoO 2 (LCO) as a model systemto benchmark a machine learning -enabled framework for bridging scales in materials physics.”

    Researchers from Shanghai Jiao Tong University Report Findings in Robotics and A utomation (Gici-lib: a Gnss/ins/camera Integrated Navigation Library)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Robotics - Robotics and Automati on have been presented. According to newsreporting out of Shanghai, People’s Re public of China, by NewsRx editors, research stated, “Accuratenavigation is ess ential for autonomous robots and vehicles. In recent years, the integration of t heGlobal Navigation Satellite System (GNSS), Inertial Navigation System (INS), and camera has garneredconsiderable attention due to its robustness and high ac curacy in diverse environments.”

    Research Data from University of Leeds Update Understanding of Support Vector Ma chines (Support Vector Machine-based Handover Scheme for Heterogeneous Ultra Den se Network of Highspeed Railway)

    56-57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 Support Vector Machines. According to news reportingoriginating in Leeds, United Kingd om, by NewsRx journalists, research stated, “In order to meet thegrowing demand s and extend network coverage for high-speed railway (HSR) system, the dense deployment of a large number of small cells (SCs) is considered for 5G networks. Ho wever, the deploymentof dense SCs and the high speed of trains result in challe nging problems such as interference, frequenthandovers (HOs), increased HO fail ure rate, and consequently the deteriorated overall quality of service(QoS).”