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Robotics & Machine Learning Daily News

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    New Findings from Xidian University in Intelligent Systems Provides New Insights (An Improved Black Hole Algorithm Designed for Kmeans Clustering Method)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning - Intellige nt Systems are discussed in a new report. According to news reporting from Shann xi, People’s Republic of China, by NewsRx journalists, research stated, “Data cl ustering has attracted the interest of scholars in many fields. In recent years, using heuristic algorithms to solve data clustering problems has gradually beco me a tendency.”

    Inha University Researcher Furthers Understanding of Robotics (Mask R-CNN-Based Stone Detection and Segmentation for Underground Pipeline Exploration Robots)

    50-51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 out of Incheon, South Korea, by NewsRx editors, r esearch stated, “Stones are one of the primary objects that impede the normal ac tivity of underground pipelines.”

    Studies from Shenzhen University Yield New Information about Robotics (Recent Ad vances In Bioinspired Soft Robots: Fabrication, Actuation, Tracking, and Applica tions)

    51-52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 originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Natural organisms offer a rich source f or the construction of soft robots exhibiting autonomous and intelligent behavio rs, encompassing attributes like motion, perception, and adaptability to environ mental shifts. Drawing inspiration from these biological models, a multitude of soft robots have emerged, each distinguished by unique structures and functional ities enabling diverse actions, including swimming, crawling, swinging, walking, and tumbling.”

    Shenzhen Longhua District Central Hospital Reports Findings in Hyperglycemia (As sociation between the stress hyperglycemia ratio and 28-day all-cause mortality in critically ill patients with sepsis: a retrospective cohort study and predict ive ...)

    52-53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 Nutritional and Metabo lic Diseases and Conditions - Hyperglycemia is the subject of a report. Accordin g to news reporting originating from Guangdong, People’s Republic of China, by N ewsRx correspondents, research stated, “Sepsis is a severe form of systemic infl ammatory response syndrome that is caused by infection. Sepsis is characterized by a marked state of stress, which manifests as nonspecific physiological and me tabolic changes in response to the disease.”

    Findings from School of Computing Science and Engineering in the Area of Machine Learning Described (Prediction of Bandwidth of Metamaterial Antenna Using Pears on Kernel-based Techniques)

    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 Machine Learn ing have been published. According to news reporting originating in Chennai, Ind ia, by NewsRx journalists, research stated, “The use of metamaterial enhances th e performance of a specific class of antennas known as metamaterial antennas. Th e radiation cost and quality factor of the antenna are influenced by the size of the antenna.”

    Researcher from Kookmin University Discusses Findings in Machine Learning (Machi ne Learning-Based Prediction of Stability in High- Entropy Nitride Ceramics)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Kookmin Universit y by NewsRx editors, the research stated, “The field of materials science has ex perienced a transformative shift with the emergence of high-entropy materials (H EMs), which possess a unique combination of properties that traditional single-p hase materials lack.”

    New Machine Translation Study Findings Have Been Reported by Investigators at Un iversity of Macau (Rethinking the Exploitation of Monolingual Data for Low-resou rce Neural Machine Translation)

    55-55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 Machine Trans lation have been published. According to news reporting from Macau, People’s Rep ublic of China, by NewsRx journalists, research stated, “The utilization of mono lingual data has been shown to be a promising strategy for addressing low-resour ce machine translation problems. Previous studies have demonstrated the effectiv eness of techniques such as back-translation and self-supervised objectives, inc luding masked language modeling, causal language modeling, and denoise autoencod ing, in improving the performance of machine translation models.”

    Children’s Hospital of Fudan University Reports Findings in Kawasaki Disease (De velopment of an immunoinflammatory indicator-related dynamic nomogram based on m achine learning for the prediction of intravenous immunoglobulin-resistant Kawas aki ...)

    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 Vascular Diseases and Conditions - Kawasaki Disease is the subject of a report. According to news repo rting out of Shanghai, People’s Republic of China, by NewsRx editors, research s tated, “Approximately 10-20% of Kawasaki disease (KD) patients suf fer from intravenous immunoglobulin (IVIG) resistance, placing them at higher ri sk of developing coronary artery aneurysms. Therefore, we aimed to construct an IVIG resistance prediction tool for children with KD in Shanghai, China.”

    New Findings from Sun Yat-sen University in the Area of Machine Learning Describ ed (Collaborative Machine Learning: Schemes, Robustness, and Privacy)

    57-57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 Machine Learning. According to news reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Distributed machine learning (ML) was originally introduced to solve a complex ML problem in a paral lel way for more efficient usage of computation resources.”

    Northwest University Reports Findings in Non-Alcoholic Fatty Liver Disease [Machine Learning Reveals Serum Glycopatterns as Potential Biomarkers for the Dia gnosis of Nonalcoholic Fatty Liver Disease (NAFLD)]

    58-58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 Liver Diseases and Con ditions - Non-Alcoholic Fatty Liver Disease is the subject of a report. Accordin g to news reporting from Xi’an, People’s Republic of China, by NewsRx journalist s, research stated, “Nonalcoholic fatty liver disease (NAFLD) has emerged as the predominant chronic liver condition globally, and underdiagnosis is common, par ticularly in mild cases, attributed to the asymptomatic nature and traditional u ltrasonography’s limited sensitivity to detect early-stage steatosis. Consequent ly, patients may experience progressive liver pathology.”