首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    China University of Geosciences Reports Findings in Machine Learning (A review o f hydroxyapatite synthesis for heavy metal adsorption assisted by machine learni ng)

    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 newsreporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Heavy metal s (HMs) represent a persistent and significant threat to aquatic ecosystems. Hyd roxyapatite(HAp) has emerged as a utilized material in the remediation of envir onmental HMs, owing to its exceptionallyhigh porosity, expansive surface area, and the presence of three-dimensional ordered channels.”

    School of Mechanical Engineering Reports Findings in Machine Learning (Predictin g Corrosion Current Density In Magnesium Alloy Battery Anodes: Machine Learning Approach Using Rapid Miner)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Chennai, Indi a, by NewsRx editors, the research stated, “Magnesium (Mg) alloysare increasing ly recognised for their potential as anode materials in batteries due to their h igh specificcapacity and cost-effectiveness. However, their susceptibility to c orrosion poses a significant challenge topractical applications.”

    Royal Surrey County Hospital Reports Findings in Artificial Intelligence (Artifi cial intelligence in robot-assisted radical prostatectomy: where do we stand tod ay?)

    91-92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 report. According to newsoriginating from Surrey, United Kingdom, by NewsRx correspondents, research stated, “The developmentof Artifici al Intelligence (AI) is one of the most revolutionary changes in modern history. The combinationof AI and Robotic surgery can be used positively for better pat ient outcomes.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Nat ional Aeronautics and Space Administration (NASA) (Machine Learning Based Damage Identification In Sic/sic Composites From Acoustic Emissions Using Autoencoders )

    92-93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 tonews reporting out of Cleveland, Ohio, by NewsRx editors, research stated, “Developing the ability toleverage machine lea rning (ML) to identify damage mechanisms in heterogeneous materials from their acoustic emissions (AE) has wide-reaching ramifications for multi-modal experimen tation. It would allowresearchers to augment damage triangulation, lifetime pre diction, and high-resolution optical studies withcomplementary mechanism-inform ed data streams.”

    University College London (UCL) School of Pharmacy Reports Findings in Machine L earning (Machine learning strengthened formulation design of pharmaceutical susp ensions)

    93-94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 out of London, United Kingdom , by NewsRx editors, research stated, “Many different formulationstrategies hav e been investigated to oppose suboptimal treatment of long-term or chronic condi tions, oneof which are the nano- and microsuspensions prepared as long-acting i njectables to prolong the releaseof an active pharmaceutical compound for a def ined period of time by regulating the size of particles bymilling. Typically, s urfactant and/or polymers are added in the dispersion medium of the suspension during processing for stabilization purposes.”

    Cedars-Sinai Medical Center Reports Findings in Artificial Intelligence (Applica tion of CT-based foundational artificial intelligence and radiomics models for p rediction of survival for lung cancer patients treated on the NRG/RTOG 0617 clin ical …

    94-95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 report. According to newsoriginating from California, Uni ted States, by NewsRx correspondents, research stated, “To apply CT-basedfounda tional artificial intelligence (AI) and radiomics models for predicting overall survival (OS) for patientswith locally advanced non-small cell lung cancer (NSC LC). Data for 449 patients retrospectively treatedon the NRG Oncology/Radiation Therapy Oncology Group (RTOG) 0617 clinical trial were analyzed.”

    Researchers from Chongqing University Discuss Findings in Machine Learning (Mach ine Learning-based Method for Gas Leakage Source Term Estimation In Highway Tunn els)

    95-96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 out of Chongqing, People’s Re public of China, by NewsRx editors, the research stated, “Incidentsinvolving th e leakage of flammable and explosive chemicals in highway tunnels can lead to di sastrousevents such as fires and explosions. The distinctive features of highwa y tunnels, characterized by theirconfined and elongated structure, intensify th e complexity of managing such accidents, potentially resultingin significant ca sualties and property damage.”

    National Institute of Technology Researchers Discuss Findings in Machine Learnin g (Machine learning prediction of the unconfined compressive strength of control led low strength material using fly ash and pond ash)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of the National I nstitute of Technology by NewsRx editors, research stated, “The sustainableuse of industrial byproducts in civil engineering is a global priority, especially i n reducing the environmentalimpact of waste materials. Among these, coal ash fr om thermal power plants poses a significant challengedue to its high production volume and potential for environmental pollution.”

    Researchers from Xidian University Provide Details of New Studies and Findings i n the Area of Robotics (Mt-rsl: a Multitaskingoriented Robot Skill Learning Fra mework Based On Continuous Dynamic Movement Primitives for Improving Efficiency and …)

    97-98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 Xi’an, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Robot skill learning isone of the international advanced directions in the field of robot-based intelligent manuf acturing, whichmakes it possible for robots to learn and operate autonomously i n complex real-world environments. In thispaper, we propose a multitasking-orie nted robot skill learning framework named MTRSL to improve theefficiency and ro bustness of multi-task robot skill learning in complex real-world environments, and presentthe detailed design steps of three key sub-modules included in MT-RS L, namely, sub-task segmentationmodule, robot skill learning module, and robot configuration optimization module.”

    Zhejiang University Reports Findings in Robotics (Multi-Objective Safety-Enhance d Path Planning for the Anterior Part of a Flexible Ureteroscope in Robot-Assist ed Surgery)

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting from Hangzhou,People’s Republic of China, by Ne wsRx journalists, research stated, “In robot-assisted flexible ureteroscopy,pla nning a safety-enhanced path facilitates ureteroscope reaching the target safely and quickly. However,current methods rarely consider the safety impact caused by body motion of the anterior part, such asimpingement on the lumen wall and s weeping motion risk, or the method can only be used in collision-freesituations .”