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    Study Results from Jiujiang University Broaden Understanding of Robotics (Modified Deng’s Grey Relational Analysis Model for Panel Data and Its Applications In Assessing the Water Environment of Poyang Lake)

    108-108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 Robotics. According to news reporting from Jiujiang, People’s Republic of China, b y NewsRx journalists, research stated, “Deng’s grey relational analysis (GRA) mo del is widely used in clustering because of its simple mathematical mechanisms. For sample data of different dimensions, people have put forward different Deng’ s GRA models, including time series data, panel data, and panel time series data .”

    Studies in the Area of Robotics Reported from Chinese Academy of Sciences (Obser ver-based Free-will Arbitrary Time Sliding Mode Control for Uncertain Robotic Manipulators)

    109-109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 Robotics. According to news originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “This paper studies a free-will arb itrary time sliding mode control (FATSMC) based on the predefined-time sliding m ode observer (PTSMO) for tracking control of robotic manipulators. First, a PTSM O is constructed to estimate the coupled uncertainty of the robotic manipulator system in a preset time.”

    Researcher at Harbin Institute of Technology Details Research in Machine Learning (Machine Learning-Based Strength Prediction of Round-Ended Concrete-Filled Ste el Tube)

    110-110页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Shenzhen, Peop le’s Republic of China, by NewsRx editors, the research stated, “Roundended con crete-filled steel tubes (RECFSTs) present very different performances between the primary and secondary axes, which renders them particularly suitable for use as bridge piers and arches.”

    University Teknologi Malaysia Reports Findings in Machine Learning [Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus]

    111-111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 Machine Learning is the subject of a report. According to news reporting originating from Johor, Malay sia, by NewsRx correspondents, research stated, “This study represents a pioneer ing effort to integrate geographic information systems (GIS) and ensemble machin e learning methods to predict noise levels on a university campus. Three ensembl e models including random forest (RF), gradient boosting (GB), and extreme gradi ent boosting (XGB) were developed to predict traffic noise based on data collect ed over a 4-week period at the Universiti Teknologi Malaysia (UTM) campus.”

    Researcher from Egypt-Japan University of Science and Technology Publishes Findings in Machine Learning (Prediction of Ionospheric Scintillations Using Machine Learning Techniques during Solar Cycle 24 across the Equatorial Anomaly)

    112-113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 artificial Intelligence have been published. According to news reporting originating from Egy pt-Japan University of Science and Technology by NewsRx correspondents, research stated, “Ionospheric scintillation is a pressing issue in space weather studies due to its diverse effects on positioning, navigation, and timing (PNT) systems . Developing an accurate and timely prediction model for this event is crucial.”

    Findings on Machine Translation Reported by Investigators at University of Hrade c Kralove (Overview and Challenges of Machine Translation for Contextually Appro priate Translations)

    112-112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 Translation. According to news reporting out of Hradec Kralove, Czech Republic, by NewsRx editors, research stated, “Machine translation facilitates cross -linguistic communication by converting text between languages. However, produci ng contextually accurate translations remains a challenge.”

    Data on Liver Resection Reported by Edoardo M. Muttillo and Colleagues (Is robot ic liver resection feasible in patients with lesions in close proximity to major vessels? A propensity score matching analysis)

    113-114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 - Liver Resect ion is the subject of a report. According to news reporting originating in Lyon, France, by NewsRx journalists, research stated, “Robotic surgery is widely diff used in the surgical field and is becoming increasingly prevalent, however sever al aspects need more detailed assessment. One of them concerns the role of robot ic liver surgery for lesions in contact with major vascular (CMV) pedicles.”

    Arish University Researcher Highlights Research in Machine Learning (Determinant s of Egypt’s unemployment rate with machine learning algorithms)

    114-115页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on artificial intelligence have bee n presented. According to news originating from Arish University by NewsRx edito rs, the research stated, “This research endeavored to harness the capabilities o f machine learning algorithms, specifically gradient boosting (GB) and random fo rest (RF), to ascertain the optimal algorithm for precisely analyzing the determ inants influencing Egypt’s unemployment rate.”

    Reports Outline Machine Learning Research from Florida Institute of Technology ( Spatiotemporal Bayesian Machine Learning for Estimation of an Empirical Lower Bo und for Probability of Detection with Applications to Stationary Wildlife Photog raphy)

    115-116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 out of Melbourne, Florida, by NewsRx editors, research stated, “An important parameter in the monitoring and surveillance systems is the probability of detection. Advanced wildlife monito ring systems rely on camera traps for stationary wildlife photography and have b een broadly used for estimation of population size and density.”

    University of Naples Federico II Reports Findings in Leiomyomatosis (3D Imaging reconstruction and laparoscopic robotic surgery approach to disseminated periton eal leiomyomatosis)

    116-117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 Leiomyomatosis is the subject of a report. According to news reporting from Naples, Italy, by NewsRx j ournalists, research stated, “This video article explores the synergistic approa ch of 3D imaging reconstruction and laparoscopic robotic surgery for the managem ent of a complex case of disseminated peritoneal leiomyomatosis (1). The primary focus lies in the capability of the reconstruction model to provide diagnostic support to identify fibroids during surgical procedures, potentially enhancing s urgical precision, reducing operating times, minimizing uterine incisions, and l imiting blood loss. 3D imaging reconstruction techniques were used to facilitate the identification of multiple parasitic and non-serosal myomas, which is parti cularly challenging when operating with a robotic surgical platform that lacks h aptic feedback.”