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

    Report Summarizes Artificial Intelligence Study Findings from Xinjiang University (Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects)

    10-11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 intelligence is the subject of a new report. According tonews reporting from Xinjiang University by NewsRx journalists, research stated, “This paper investigatesthe intricate relationship between artificial intelligence (AI) and green innovation within the context ofsustainable development goals. As societies strive to achieve sustainability, understanding the dynamicsbetween technological advancements and environmental progress becomes paramount.”

    University of Minnesota Reports Findings in Robotics (Dyad motor learning in a wrist-robotic environment: Learning together is better than learning alone)

    11-12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 subject of a report. According to news reportingoriginating in Minneapolis, Minnesota, by NewsRx journalists, research stated, “Dyad motor practice ischaracterized by two learners alternating between physical and observational practice, which can lead tobetter motor outcomes and reduce practice time compared to physical practice alone. Robot-assistedtherapy has become an established neurorehabilitation tool but is limited by high therapy cost and access.”

    Recent Findings from University of Minho Highlight Research in Robotics (Human-Robot Joint Misalignment, Physical Interaction, and Gait Kinematic Assessment in Ankle-Foot Orthoses)

    12-13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 originatingfrom Guimaraes, Portugal, by NewsRx correspondents, research stated, “Lower limb exoskeletons andorthoses have been increasingly used to assist the user during gait rehabilitation through torque transmissionand motor stability.”Financial supporters for this research include Fundacao Para A Ciencia E Tecnologia; Portuguese NationalSupport To R&D Units.

    Study Findings on Robotics Detailed by a Researcher at Shenyang Ligong University (Visual Localization of an Internal Inspection Robot for the Oil-Immersed Transformer)

    13-13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. According to news reporting fromLiaoning, People’s Republic of China, by NewsRx journalists, research stated, “Aiming at the problem thatthe robot is difficult to locate in the oil-immersed transformer, a visual positioning of the robot is proposedfor internal inspection.”Financial supporters for this research include Department of Education of Liaoning Province.

    New Robotics Findings from University of Salento Published (Online Odometry Calibration for Differential Drive Mobile Robots in Low Traction Conditions with Slippage)

    14-14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 robotics. According to news originating from Lecce,Italy, by NewsRx correspondents, research stated, “This paper addresses a systematic method for odometrycalibration of a differential-drive mobile robot moving on arbitrary paths in the presence of slippage andan algorithm encoding it which is well fit for online applications.”Funders for this research include National Basic Research Program.

    Findings from University of California Los Angeles (UCLA) Provide New Insights into Artificial Intelligence (Artificial Intelligence-driven Morphology-based Enrichment of Malignant Cells From Body Fluid)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Artificial Intelligence. According to news reporting out ofLos Angeles, California, by NewsRx editors, research stated, “Cell morphology is a fundamental featureused to evaluate patient specimens in pathologic analysis. However, traditional cytopathology analysisof patient effusion samples is limited by low tumor cell abundance coupled with the high background of nonmalignant cells, restricting the ability of downstream molecular and functional analyses to identifyactionable therapeutic targets.”

    Investigators at University of Transport Technology Report Findings in Machine Learning (Mapping of Soil Erosion Susceptibility Using Advanced Machine Learning Models At Nghe An, Vietnam)

    15-16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 Learning have been published. According to newsoriginating from Hanoi, Vietnam, by NewsRx correspondents, research stated, “Soil Erosion SusceptibilityMapping (SESM) is one of the practical approaches for managing and mitigating soil erosion. This studyapplied four Machine Learning (ML) models namely the Multilayer Perceptron (MLP) classifier, AdaBoost,Ridge classifier, and Gradient Boosting classifier to perform SESM in a region of Nghe An province,Vietnam.”

    Study Data from University of Illinois Update Understanding of Machine Learning (Explainable Machine Learning for Hydrogen Diffusion In Metals and Random Binary Alloys)

    16-17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 the subject of a report. According to newsreporting originating in Urbana, Illinois, by NewsRx journalists, research stated, “Hydrogen diffusion inmetals and alloys plays an important role in the discovery of new materials for fuel cell and energy storagetechnology. While analytic models use hand-selected features that have clear physical ties to hydrogendiffusion, they often lack accuracy when making quantitative predictions.”

    University of Vienna Reports Findings in Machine Learning (Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation)

    17-18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 the subject of a report. According to newsreporting originating in Vienna, Austria, by NewsRx journalists, research stated, “The ability to determineand predict metabolically labile atom positions in a molecule (also called ‘sites of metabolism’ or ‘SoMs’)is of high interest to the design and optimization of bioactive compounds, such as drugs, agrochemicals,and cosmetics. In recent years, several in silico models for SoM prediction have become available, manyof which include a machine-learning component.”

    New Robotics Study Findings Have Been Reported by Researchers at School of Automation (Identifying the Working Conditions of Semisolid Metal Slagging Operations Under Strong Light Based On Gabor Feature and Multichannel Pgan)

    18-19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 reporting outof Changsha, People’s Republic of China, by NewsRx editors, research stated, “In this paper, a detectionframework is proposed that combines strong light removal, working condition identification, and slaggingquality evaluation. This framework is applied to a semisolid metal solution slagging operation system,which is an approach that was not available in previous work.”