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    Researchers from Brigham Young University Report New Studies and Findings in the Area of Robotics (Asymmetric Zipper-coupled Tubes and Smooth Sheet Attachments In the Design of Deployable Space-filling Mechanisms)

    50-51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 Robotics are presented in a new report. According to news reporting originating in Provo, Utah, by NewsR x journalists, research stated, “Zipper-coupled tubes are a unique structure con sisting of two tubes with zig-zag walls that, when coupled in a zipper fashion, resist compression in the normal direction.”

    Findings in Robotics Reported from Korea Food Research Institute (A Simulation-B ased Approach for Evaluating the Effectiveness of Robotic Automation Systems in HMR Product Loading)

    50-50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 robotics have been presented. According to news reporting out of the Korea Food Research Institute by NewsRx editors, research stated, “The food industry has tried to enhance produc tion processes in response to the increasing demand for safe, high-quality Home Meal Replacement (HMR) products.”

    China National Center for Bioinformation Reports Findings in COVID-19 (Machine Learning Early Detection of SARS-CoV-2 High-Risk Variants)

    51-52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 Coronavirus - COVID-19 is the subject of a report. According to news originating from Beijing, People’ s Republic of China, by NewsRx correspondents, research stated, “The severe acut e respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved many high-risk var iants, resulting in repeated COVID-19 waves over the past years. Therefore, accu rate early warning of high-risk variants is vital for epidemic prevention and control.”

    Study Findings on Machine Learning Detailed by a Researcher at Shenzhen University (Prediction Models and Feature Importance Analysis for Service State of Tunnel Sections Based on Machine Learning)

    52-53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 intelligence are discussed in a new report. According to news originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “The e valuation of tunnel service conditions is a core problem in the maintenance of t unnel structures during their life cycles.”

    Study Findings from Emory University Broaden Understanding of Artificial Intelligence (Artificial Intelligence, Afrofuturism, and Economic Justice)

    53-54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 in Atlan ta, Georgia, by NewsRx editors, the research stated, “Artificial intelligence (A I) work technologies have been lauded for their efficiency, cost savings, and ab ility to democratize access to work. Indeed, AI work technologies make a ‘ plane tary labor market’ ‘ possible.”

    Findings on Computational Intelligence Reported by Investigators at Dalian University of Technology (Bauodnet for Class Imbalance Learning In Underwater Object Detection)

    54-55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 - Computational Intelligence. According to news reporting originating from Dalian, People’s Republic of China, by NewsRx correspondents, research stated, “Underwater object detection is of great significance for various applicatio ns in underwater scenes. However, class imbalance issue is still an unsolved bot tleneck for current underwater object detection algorithms.”

    Studies from ITMO University Reveal New Findings on Machine Learning (Integrationof Evolutionary Automated Machine Learning With Structural Sensitivity Analysi s for Composite Pipelines)

    55-56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 Machine Learning are discussed in a new report. According to news reporting originating in St. Pe tersburg, Russia, by NewsRx journalists, research stated, “Automated machine lea rning (AutoML) systems propose an end-to-end solution to a given machine learningproblem, creating either fixed or flexible pipelines. Fixed pipelines are task independent constructs: their general composition remains the same, regardless of the data.”

    Department of Research Reports Findings in Machine Learning (Generation of a virtual cohort of TAVI patients for in silico trials: a statistical shape and machine learning analysis)

    56-57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 originating from Palermo, Italy, by New sRx correspondents, research stated, “In silico trials using computational modeling and simulations can complement clinical trials to improve the time-to-market of complex cardiovascular devices in humans. This study aims to investigate the significance of synthetic data in developing in silico trials for assessing the safety and efficacy of cardiovascular devices, focusing on bioprostheses design ed for transcatheter aortic valve implantation (TAVI).”

    University College London (UCL) Reports Findings in Machine Learning (A machine learning algorithm for creating isotropic 3D aortic segmentations from routine c ardiac MR localizers)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated, “The identification and measurement of aortic aneurysms is an important clinical problem. While specialized high-res olution 3D CMR sequences allow detailed aortic assessment, they are time-consuming which limits their use in screening routine cardiac scans and in population studies.”

    Findings from Northeastern University Provide New Insights into Machine Learning (Accelerating Ultrashort Pulse Laser Micromachining Process Comprehensive Optimization Using a Machine Learning Cycle Design Strategy Integrated With a Physical ...)

    58-59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 Machine Learning have been presented. According to news reporting originating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “The demand for industrial development toward advanced and precision manufacturing has sparked in terest in ultrafast laser-based micromachining methods, particularly emerging ad vanced machining methods, such as laser-induced plasma micromachining (LIPMM). T he main challenge in laser micromachining is finding the optimal process in a large process space to achieve a comprehensive improvement in processing efficiency and quality as approaches that rely on trial-and-error are impractical.”