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    Massachusetts General Hospital Reports Findings in Arthroplasty (Comparing Rates of Minimal Clinically Important Difference Between Manual and Robotic-Assisted Total Knee Arthroplasty)

    1-2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 Boston, Massachusetts, by NewsRx journalists, research stated, “Differences in patient-r eported outcome measures (PROMs) between manual total knee arthroplasty (mTKA) a nd robotic-assisted TKA (rTKA) have not been adequately assessed. We compared th e minimal clinically important difference for improvement (MCID-I) and Worsening (MCID-W) between mTKA and rTKA patients.”

    Reports on Machine Learning Findings from Lublin University of Technology Provid e New Insights (Virtual Tomography As a Novel Method for Segmenting Machining Pr ocess Phases With the Use of Machine Learning-supported Measurement)

    2-3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 Machine Learning. According to news reporting originating in Lublin, Poland, by NewsRx journalists, research stated, “A new idea of machine learning -based technologic al process segmentation with the use of multi -sensor measurement is proposed in this article. The proposed segmentation of the machining process through approp riate measurement data modelling provides valuable insight that is necessary for technological parameters optimization or predictive maintenance.”

    Research from Eindhoven University of Technology Yields New Findings on Machine Learning (An introduction to Bayesian simulationbased inference for quantum mac hine learning with examples)

    3-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Eindhoven, Netherlands, by NewsRx correspondents, research stated, “Simulatio n is an indispensable tool in both engineering and the sciences.”

    Reports on Robotics Findings from Fuzhou University Provide New Insights (Tracki ng Control of Snake Robots With Butterfly Spiral Propulsion for Multiscenario Ap plications)

    4-4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 Robotics is the subject of a report. According to news reporting out of Fuzhou, People’s Republic of China, by NewsRx editors, research stated, “This work presents a butterfly spiral propulsion mode of snake robots to realize the tracking control on the objectiv e trajectory in multiple scenarios. This method investigates the force mechanism of each body element in the yaw and pitch directions.”

    Data from Universitas Negeri Malang Update Knowledge in Machine Learning (Optimi zation of Machine Learning-Based Automatic Target Detection and Locking System on Robots)

    5-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from the Universitas Neger i Malang by NewsRx correspondents, research stated, “In recent years, the world of robotics has made significant progress in improving the operational capabilit ies of robots through target detection and locking systems.”

    Data from New York University (NYU) Langone Health Provide New Insights into Art ificial Intelligence (From Jargon To Clarity: Improving the Readability of Foot and Ankle Radiology Reports With an Artificial Intelligence Large Language Model )

    5-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Artificial Intelligence have been published. According to news reporting originating in New York City, N ew York, by NewsRx journalists, research stated, “The purpose of this study was to evaluate the efficacy of an Artificial Intelligence Large Language Model (AI- LLM) at improving the readability foot and ankle orthopedic radiology reports. T he radiology reports from 100 foot or ankle X-Rays, 100 computed tomography (CT) scans and 100 magnetic resonance imaging (MRI) scans were randomly sampled from the institution’s database.”

    Data from CSE Department Advance Knowledge in Computational Intelligence (Hybrid raven roosting intelligence framework for enhancing efficiency in data clustering)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on computational int elligence are discussed in a new report. According to news reporting originating from the CSE Department by NewsRx correspondents, research stated, “The field o f data exploration relies heavily on clustering techniques to organize vast data sets into meaningful subgroups, offering valuable insights across various domain s. Traditional clustering algorithms face limitations in terms of performance, o ften getting stuck in local minima and struggling with complex datasets of varyi ng shapes and densities.”

    Hohai University Reports Findings in Machine Learning (Attribution of hydrologic al droughts in large river-connected lakes: Insights from an explainable machine learning model)

    7-8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 th e subject of a report. According to news reporting from Nanjing, People’s Republ ic of China, by NewsRx journalists, research stated, “Large lakes play an import ant role in water resource supply, regional climate regulation, and ecosystem su pport, but they face threats from frequent extreme drought events, necessitating an understanding of the mechanisms behind these events. In this study, we devel oped an explainable machine learning (ML) model that combines the Bayesian optim ized (BO) long short-term memory (LSTM) model and the integrated gradients (IG) interpretation method to simulate and explain lake water level variations.”

    Universidad Catolicadel Maule Reports Findings in Machine Learning (Machine learning and matrix-assisted laser desorption/ ionization time-of-flight mass spectr a for antimicrobial resistance prediction: A systematic review of recent ...)

    8-9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 th e subject of a report. According to news reporting out of Talca, Chile, by NewsR x editors, research stated, “The use of matrix-assisted laser desorption/ionizat ion time-of-flight mass spectra (MALDI-TOF MS) combined with machine learning te chniques has recently emerged as a method to address the public health crisis of antimicrobial resistance. This systematic review, conducted following Preferred Reporting Items for Systematic reviews and Meta- Analyses (PRISMA) guidelines, a ims to evaluate the current state of the art in using machine learning for the d etection and classification of antimicrobial resistance from MALDI-TOF mass spec trometry data.”

    Know-Center GmbH Reports Findings in Machine Learning (Machine learning based st ellar classification with highly sparse photometry data)

    10-10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 th e subject of a report. According to news reporting originating in Graz, Austria, by NewsRx journalists, research stated, “Identifying stars belonging to differe nt classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution. In the era of surveys covering billions of s tars, an automated method of identifying these classes becomes necessary.”