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 Study Results from University of Southern Denmark Described (Earthw orm-inspired Soft Skin Crawling Robot)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating in Odense, Denmark, by NewsRx journal ists, research stated, “Earthworms are fascinating animals capable of crawling a nd burrowing through various terrains using peristaltic motion and the direction al friction response of their epidermis.”

    Findings from National Institute Fisheries Science Broaden Understanding of Mach ine Learning [A Machine Learning Technique for Deriving the O ptimal Mesh Size of a Gizzard Shad (* * Konosirus punctatus* * ) Gillnet]

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Busan, South Korea, by NewsRx journalists, research stated, “Gizzard shads are facing a continual decl ine in population, necessitating the implementation of selective gear design for effective resource management.”

    Yale University School of Medicine Reports Findings in Artificial Intelligence ( Randomised controlled trials evaluating artificial intelligence in clinical prac tice: a scoping review)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from New Haven, Conn ecticut, by NewsRx correspondents, research stated, “This scoping review of rand omised controlled trials on artificial intelligence (AI) in clinical practice re veals an expanding interest in AI across clinical specialties and locations. The USA and China are leading in the number of trials, with a focus on deep learnin g systems for medical imaging, particularly in gastroenterology and radiology.”

    Researcher from Qinghai University Reports Recent Findings in Machine Learning ( Multi-Model Comprehensive Inversion of Surface Soil Moisture from Landsat Images Based on Machine Learning Algorithms)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Xining, People’s Republic of Chin a, by NewsRx journalists, research stated, “Soil moisture plays an important rol e in maintaining ecosystem stability and sustainable development, especially for the upper reaches of the Yellow River region.”

    Data on Arthroplasty Reported by Praharsha Mulpur and Colleagues (Operating room efficiency for a high-volume surgeon in simultaneous bilateral robotic-assisted total knee arthroplasty: a prospective cohort study)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to news reporting originating in Hyderaba d, India, by NewsRx journalists, research stated, “Robotic-assisted total knee a rthroplasty (RATKA) has been shown to achieve more accurate component positionin g and target alignment than conventional jig-based instrumentation; however, con cerns remain regarding its adoption since it is associated with steep learning c urves, higher operational costs, and increased surgical time. This study aims to compare the operating times of three cohorts of patients undergoing simultaneou s bilateral TKA, i.e., first 50 RATKA, last 50 RATKA (at the end of 1 year), and 50 conventional TKA.”

    Research Data from University of Padova Update Understanding of Robotics (Design ing Digital Twins of Robots Using Simscape Multibody)

    32-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now availab le. According to news reporting out of Padova, Italy, by NewsRx editors, researc h stated, “Digital twins of industrial and collaborative robots are widely used to evaluate and predict the behavior of manipulators under different control str ategies.” The news editors obtained a quote from the research from University of Padova: “ However, these digital twins often employ simplified mathematical models that do not fully describe their dynamics. In this paper, we present the design of a hi gh-fidelity digital twin of a six degrees-of-freedom articulated robot using Sim scape Multibody, a Matlab toolbox that allows the design of robotic manipulators in a rather intuitive and user-friendly manner. This robot digital twin include s joint friction, transmission gears, and electric actuators dynamics.”

    Data on Surgical Technology Reported by Giulio Menichini and Colleagues (Robotic -Assisted Anastomosis in Orthoplastic Surgery: Preliminary Data)

    33-33 页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Surgical Tec hnology is the subject of a report. According to news reporting originating from Florence, Italy, by NewsRx correspondents, research stated, “The evolution of m icrosurgery has relied on advancements in operating microscopes and surgical ins truments. Pioneering advancements, however, especially within the domain of ‘sup er-microsurgery’, challenge the limits of human dexterity by dealing with anasto moses between vessels smaller than 0.8 mm.”

    Sakarya University Reports Findings in Hemodialysis (The relationship between sa tisfaction with life, dietary attitude, and comfort level in hemodialysis patien ts: Analysis with machine learning approach)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Dialysis - Hemodialysi s is the subject of a report. According to news reporting out of Sakarya, Turkey , by NewsRx editors, research stated, “Hemodialysis (HD) patients have become a serious public health problem, the number of which is increasing every year worl dwide. This study aimed to determine the relationship between satisfaction with life, dietary attitude, and comfort level in patients receiving HD treatment.”

    Researchers from University of Electronic Science and Technology of China Discus s Findings in Computational Intelligence (Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling)

    35-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news reporting origina ting in Shenzhen, People’s Republic of China, by NewsRx journalists, research st ated, “Outfit compatibility modelling plays a significant role in e-commerce dec ision-making, but the existing methods are restricted to modelling the visual an d textual information and have neglected the direct contribution of category lab els and the differences in semantic richness among different modalities. This pa per addresses these issues by developing a hierarchical multimodal graph learnin g framework for outfit compatibility modelling called HMGL-OCM, which consists o f an item-level graph network and a modality-level graph network.”

    Offenburg University Researcher Provides New Study Findings on Automation Contro l and Intelligent Systems (New Findings in the Stability Analysis of PI-state Co ntrolled Systems with Actuator Saturation)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on automation co ntrol and intelligent systems have been published. According to news reporting o ut of Offenburg, Germany, by NewsRx editors, research stated, “In this paper, a simple, generally valid stability proof for an anti-windup method for PI-state c ontrolled systems is presented, with which it is possible to directly conclude t he stability of the PI-state controlled system from a stable P-state controlled system with constraints in the manipulated variables, i.e. without having to per form a separate stability investigation of the anti-windup measures.”