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 Data Have Been Reported by Investigators at University of Science and Technology China (Ustc Flicar: a Sensors Fusion Dataset of Lidar-inertial-camera for Heavy-duty Autonomous Aerial Work Robots)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been presented. According to news reporting originatingin Anhui, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, we present theUSTC FLICAR Dataset, which is dedicated to the development of simultaneous localization and mappingand precise 3D reconstruction of the workspace for heavy-duty autonomous aerial work robots. In recentyears, numerous public datasets have played significant roles in the advancement of autonomous cars andunmanned aerial vehicles (UAVs).”

    Recent Findings from Temple University Has Provided New Information about Robotics (The Convex Uncertain Voronoi Diagram for Safe Multi-robot Multi-target Tracking Under Localization Uncertainty)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been published. According to news reporting from Philadelphia,Pennsylvania, by NewsRx journalists, research stated, “Accurately detecting, localizing, and trackingan unknown and time-varying number of dynamic targets using a team of mobile robots is a challengingproblem that requires robots to reason about the uncertainties in their collected measurements. The problemis made more challenging when robots are uncertain about their own states, as this makes it difficultto both collectively localize targets and avoid collisions with one another.”

    South China Normal University Researcher Describes Findings in Support Vector Machines (Does Part of Speech Have an Influence on Cyberbullying Detection?)

    38-39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 have been published. According to news reporting out ofGuangzhou, People’s Republic of China, by NewsRx editors, research stated, “With the development ofthe Internet, the issue of cyberbullying on social media has gained significant attention. Cyberbullying isoften expressed in text.”

    Nanjing Audit University Researchers Highlight Recent Research in Androids (Complexity-Driven Trust Dynamics in Human-Robot Interactions: Insights from AI-Enhanced Collaborative Engagements)

    39-40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 androids. According to news reporting originating fromNanjing, People’s Republic of China, by NewsRx correspondents, research stated, “This study explores theintricate dynamics of trust in human-robot interaction (HRI), particularly in the context of modern roboticsystems enhanced by artificial intelligence (AI).”

    Radboud University Medical Center Reports Findings in Artificial Intelligence (Association of metastatic pattern in breast cancer with tumor and patient-specific factors: a nationwide autopsy study using artificial intelligence)

    40-41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 report. According to newsreporting out of Nijmegen, Netherlands, by NewsRx editors, research stated, “Metastatic spread is characterizedby considerable heterogeneity in most cancers. With increasing treatment options for patients withmetastatic disease, there is a need for insight into metastatic patterns of spread in breast cancer patientsusing large-scale studies.”

    Research from West Anhui University Provides New Data on Robotics (Asymmetric integral barrier function-based tracking control of constrained robots)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now available. According to news reporting originating fromLu’an, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, a new-typetime-varying asymmetric integral barrier function is designed to handle the state constraint of nonlinearsystems.”

    Findings in Machine Translation Reported from University of Macau (Image Operation Chain Detection With Machine Translation Framework)

    42-42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 Machine Translation. According to news originatingfrom Macau, People’s Republic of China, by NewsRx correspondents, research stated, “The aim of operationchain detection for a given manipulated image is to reveal the operations involved and the order in whichthey were applied, which is significant for image processing and multimedia forensics. Currently, all existingapproaches simply treat image operation chain detection as a classification problem and consider only chainsof at most two operations.”

    Studies from Korea Institute of Science and Technology Yield New Data on Machine Learning (The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects)

    43-43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 artificial intelligence. According to news reporting fromSeoul, South Korea, by NewsRx journalists, research stated, “As the severity of climate change intensifies,understanding and predicting weather patterns have become paramount. Major firms worldwide haverecognized this urgency, focusing their innovative efforts on weather prediction.”

    University of Groningen Reports Findings in Machine Learning (Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules)

    44-44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 news reportingfrom Groningen, Netherlands, by NewsRx journalists, research stated, “During lung cancer screening,indeterminate pulmonary nodules (IPNs) are a frequent finding. We aim to predict whether IPNs areresolving or non-resolving to reduce follow-up examinations, using machine learning (ML) models.”

    Researchers from Chinese Academy of Meteorological Sciences Report Findings in Support Vector Machines (Performance Benchmarking On Several Regression Models Applied In Urban Flash Flood Risk Assessment)

    45-46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 - Support Vector Machines have beenpublished. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors,research stated, “To evaluate the performances of regression models applied in the urban flash flood riskassessment, the historical urban flash flood occurrences points were used to build the Voronoi polygonnetworks for calculating Ripley’s K values which can be adopted to be the risk value and the predictandsin regression. The first level risk indicators of hazard, vulnerability, sensitivity and exposure risk factors inthe risk assessment, as well as the sensitivity subordinate indicators of imperviousness and terrain factor,were listed to be the predictors in the regression model.”