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

    New Robotics and Automation Study Findings Recently Were Reported by Researchers at Wuhan University (T-timespan Dynamic Coverage of Mobile Cameranetwork for Visual Inspection)

    94-95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 - Robotics and Automation. According tonews reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Visualinspection by robotics and automation is widely applied in industry and daily life. Although dynamiccoverage of mobile sensors has been developed for various tasks, existing methods are not suitable forvisual inspection since sensing model is not taken into account.”

    Researcher at University of Shanghai for Science and Technology Targets Robotics (A Multi-Agent Reinforcement Learning Method for Omnidirectional Walking of Bipedal Robots)

    95-96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 reporting originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Achieving omnidirectionalwalking for bipedal robots is considered one of the most challenging tasks in robotics technology.Reinforcement learning (RL) methods have proved effective in bipedal walking tasks.”

    Study Findings on Robotics Discussed by a Researcher at Swiss Federal Institute of Technology Lausanne (EPFL) (Human motor augmentation with an extra robotic arm without functional interference)

    96-97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 Lausanne, Switzerland, by NewsRx correspondents, research stated, “Extra robotic arms(XRAs) are gaining interest in neuroscience and robotics, offering potential tools for daily activities.”

    Reports from Zhejiang University Add New Data to Findings in Robotics (Amcfnet: Asymmetric Multiscale and Crossmodal Fusion Network for Rgb-d Semantic Segmentation In Indoor Service Robots)

    97-98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 reporting fromHangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Red-green-blue and depth(RGB-D) semantic segmentation is essential for indoor service robots to achieve accurate artificial intelligence.Various RGB-D indoor semantic segmentation methods have been proposed since the widespreadadoption of depth maps.”

    New Robotics Study Findings Have Been Reported by Investigators at Hunan University (A Signal-to-image Fault Classification Method Based On Multi-sensor Data for Robotic Grinding Monitoring)

    98-99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 Changsha, People’s Republic of China, by NewsRx journalists, research stated, “This paper establishesa framework to analyze the state of grinding equipment by vibration signals of multi-sensors, which aimsto solve the difficult problem of online quality monitoring in the grinding process. Firstly, the MSDP(modified symmetrized dot pattern) method is developed to transform time series into visualized images,which integrates multi-sensor data while involving more representative information for classification.”

    New Machine Learning Study Results from Catholic University Described (Novel Approaches for Regionalising Swat Parameters Based On Machine Learning Clustering for Estimating Streamflow In Ungauged Basins)

    99-100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 out of Murcia, Spain, by NewsRx editors, research stated, “Streamflow prediction in ungaugedbasins (PUB) is necessary for effective water resource management, flood assessment, and hydraulic engineeringdesign. Spain is one of the countries in Europe expected to suffer the most from the consequencesof climate change, notably an increase in flooding.”

    Findings from University of Seville Yields New Data on Machine Learning (Detecting Broken Receiver Tubes In Csp Plants Using Intelligent Sampling and Dual Loss)

    100-101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 reporting out ofSeville, Spain, by NewsRx editors, research stated, “Concentrated solar power (CSP) is one of the growingtechnologies that is leading the process of change from fossil fuels to renewable energies for electricityproduction. The sophistication and size of the systems require an increase in maintenance tasks to ensurereliability, availability, maintainability, and safety.”

    National Resource Center for Chinese Materia Medica Reports Findings in Machine Learning (Geographical verification of Pleuropterus multiflorus thunb. By functional compounds, stable isotope ratios, and multielement combined with machine …)

    101-101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 from Beijing, People’s Republic of China, by NewsRx correspondents, research stated,“The dry roots of Pleuropterus multiflorus Thunb. (PM) have been traditionally utilized as functional foodsand medicines China and various Asian countries. They are extensively cultivated in multiple provinces inChina, with variations in prices and qualities.”

    Studies from Chongqing Jiaotong University Update Current Data on Support Vector Machines (Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on are discussed in a new report. According to news reporting out ofChongqing, People’s Republic of China, by NewsRx editors, research stated, “In the Three Gorges reservoirarea, the overhead upright pier is the primary structural form.”Financial supporters for this research include Chongqing Science And Technology Foundation.Our news editors obtained a quote from the research from Chongqing Jiaotong University: “For intelligentmonitoring of existing terminals, this research chooses Chongqing Xintian Port as the study objectand proposes a support vector machine (SVM) damage-inducing factor (DIF) inversion model based onparticle swarm optimization (PSO). To apply the finite element method to analyze the stress distributioncharacteristics of quay pile groups under three main DIFs, including the stacking effect, ship impact loadeffect, and bank slope effect. After characterizing the stress data, it becomes evident that there exists acorrelation between stress and each DIF parameter. Before generating the training sample set, principalcomponent analysis is employed to reduce dimensionality and eliminate a substantial amount of redundantdata. The model has an accuracy of 0.999 for the identification of the type of DIF and 0.975 for theidentification of the location of the action of the DIF with F1 coefficients of 0.999 and 0.978, respectively.For the strength of DIF predictions, MAE and MSE were 4.871 and 1.202, respectively, R2 was 0.986,NSE was 0.986, WI was 0.996, and PBIAS was 0.095.”

    Data on Artificial Intelligence Detailed by Researchers at University of Strathclyde (The Artificial Intelligence-enabled Customer Experience In Tourism: a Systematic Literature Review)

    103-103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 Artificial Intelligence. According to news reportingfrom Glasgow, United Kingdom, by NewsRx journalists, research stated, “The increased utilizationof artificial intelligence-enabled applications (AI-ETs) across the customer journey has transformed customerexperience (CX), introducing entirely new forms of the concept. This paper aims to explore existingacademic research on the AI-enabled customer experience (AICX), identifying gaps in literature and opportunitiesfor future research in this domain.”