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    Taizhou University Reports Findings in Artificial Intelligence (Artificial intel ligence-assisted magnetic resonance imaging technology in the differential diagn osis and prognosis prediction of endometrial cancer)

    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 Intelligenc e is the subject of a report. According to newsoriginating from Taizhou, People ’s Republic of China, by NewsRx editors, the research stated, “It aimedto analy ze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in therisk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neuralnetwork (CNN) architecture residual netwo rk with 101 layers (ResNet-101), spatial attention and channelattention modules were introduced to optimize the model.”

    University of Milan Reports Findings in Machine Learning (Sex estimation from pa tellar measurements in a contemporary Italian population: a machine learning app roach)

    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 Machine Learning is th e subject of a report. According to newsreporting out of Milan, Italy, by NewsR x editors, research stated, “Biological sex estimation in forensicanthropology is a crucial topic, and the patella has shown promise in this regard due to its sexual dimorphism.This study uses 12 machine learning models for sex estimation based on three patellar measurements(maximum height, breadth, and thickness).”

    Studies from Chandigarh University Yield New Data on Machine Learning (Predictin g Specific Wear Rate of Laser Powder Bed Fusion Alsi10mg Parts At Elevated Tempe ratures Using Machine Learning Regression Algorithm: Unveiling of Microstructura l ...)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Lea rning. According to news reporting from Punjab,India, by NewsRx journalists, re search stated, “Precisely predicting the Specific Wear Rate (SWR) ofAlSi10Mg co mponents produced using Laser Powder Bed Fusion (LPBF) at high temperatures, whi chis an essential concern in additive manufacturing. This study aims to address the gap in literature bydeveloping accurate predictive models for SWR via mach ine learning regression techniques.”

    University of Calgary Researchers Update Knowledge of Machine Learning (Efficien t Observation Time Window Segmentation for Administrative Data Machine Learning)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. According tonews originating from Calgary , Canada, by NewsRx editors, the research stated, “Machine learning modelsbenef it when allowed to learn from temporal trends in time-stamped administrative dat a.”

    Researchers’ Work from Shanghai Maritime University Focuses on Artificial Intell igence (The Interface Mechanical Properties Between Polymer Layer and Marine San d With Different Particle Sizes Under the Effect of Temperature: Laboratory Test s ...)

    14-14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 Artificial Intelligence is now available. According to news reportingoriginating from Shanghai, People ’s Republic of China, by NewsRx correspondents, research stated, “Inocean engin eering, polymer layer is often adopted as waterproof materials, and the mechanic al behaviourof marine sand-polymer layer interfaces has significant influence o n the engineering safety.”

    Reports Summarize Robotics and Artificial Intelligence Research from Huazhong Un iversity of Science and Technology (Addressing catastrophic forgetting in payloa d parameter identification using incremental ensemble learning)

    15-15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 and artifici al intelligence have been presented. According tonews reporting out of Wuhan, P eople’s Republic of China, by NewsRx editors, research stated, “Collaborativero bots (cobots) are increasingly integrated into Industry 4.0 dynamic manufacturin g environmentsthat require frequent system reconfiguration due to changes in co bot paths and payloads.”

    Peking University First Hospital Reports Findings in Robotics (Robotic buccal mu cosal graft ureteroplasty using combination of posterior-inlay and anterior-onla y technique)

    16-16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 subjec t of a report. According to news reporting outof Beijing, People’s Republic of China, by NewsRx editors, research stated, “Buccal mucosal graft (BMG)ureteropl asty, particularly with the anterior-onlay technique, shows promise for treating complex ureteralstrictures. However, long and circumferential strictures remai n challenging.”

    Researchers from University of Arizona Report New Studies and Findings in the Ar ea of Artificial Intelligence (Advancing Building Energy Modeling With Large Lan guage Models: Exploration and Case Studies)

    17-17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 Artificial Intelligence is now available. According to news reportingoriginating in Tucson, Arizona, b y NewsRx journalists, research stated, “The rapid progression in artificialinte lligence has facilitated the emergence of large language models like ChatGPT, of fering potential applicationsextending into specialized engineering modeling, e specially physicsbased building energy modeling.This paper investigates the inn ovative integration of large language models with building energy modelingsoftw are, focusing specifically on the fusion of ChatGPT with EnergyPlus.”

    Studies from University of Macau Reveal New Findings on Machine Learning (Machin e Learning Revealing Overlooked Conjunction of Working Volume and Mixing Intensi ty In Anammox Optimization)

    18-18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 Ma chine Learning. According to news reportingout of Macau, People’s Republic of C hina, by NewsRx editors, research stated, “Extensive studies onimproving anammo x performance have taken place for decades with particular focuses on its operat ionaland environmental factors, but such parameter-based optimization is diffic ult, because of the sheer numberof possible combinations and multidimensional a rrays of these factors. Utilizing machine-learning algorithmand published anamm ox data, Bayesian nonparametric general regression (BNGR) was applied to identify the possible governing variable(s) from among 11 operating and environmental p arameters: reactortype, mixing type, working volume, hydraulic retention time, temperature, influent pH, nitrite, ammonium,nitrate concentration, nitrogen loa ding rate, and organic concentration.”

    Findings on Robotics Reported by Investigators at Qingdao University (Command Fi lter-based Finite-time Constraint Control for Flexible Joint Robots Stochastic S ystem With Unknown Dead Zones)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Qingdao, People’s Rep ublic of China, by NewsRx journalists, research stated, “This articlestudies th e problem of finite-time (FT) adaptive constraint control for flexible joint rob ots (FJR) stochasticsystem. First, by combining the command filtered backsteppi ng method with FT control, not only does itsolve the ‘explosion of complexity’ problem, but it also ensures that the error of the FJR stochastic systemconverg es in FT.”