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    University of Florida Reports Findings in Machine Learning (Taming Two-Dimension al Polymerization by a Machine-Learning Discovered Crystallization Model)

    1-2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 from Florida, United States, by NewsRx journalists, research stated, “Rapidly synthesizing highqualitytwo-d imensional covalent organic frameworks (2D COFs) is crucial for their practical applications.While strategies such as slow monomer addition have been developed based on an empirical understandingof their formation process, quantitative gu idance remains absent, which prohibits precise optimizations ofthe experimental conditions.”

    Arctic University of Norway (UiT) Reports Findings in Machine Learning (Using ma chine learning methods to predict all-cause somatic hospitalizations in adults: A systematic review)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; New research on Machine Learning is the subject o f a report. According to news originatingfrom Tromso, Norway, by NewsRx corresp ondents, research stated, “In this review, we investigated howMachine Learning (ML) was utilized to predict all-cause somatic hospital admissions and readmissi ons inadults. We searched eight databases (PubMed, Embase, Web of Science, CINA HL, ProQuest, OpenGrey,WorldCat, and MedNar) from their inception date to Octob er 2023, and included records that predictedall-cause somatic hospital admissio ns and readmissions of adults using ML methodology.”Financial support for this research came from UiT The Arctic University of Norwa y.

    New Machine Learning Study Findings Reported from University of Oklahoma (A revi ew of torsional vibration mitigation techniques using active control and machine learning strategies)

    3-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New study results on artificial intell igence have been published. According to newsreporting out of Norman, Oklahoma, by NewsRx editors, research stated, “Drilling is one of the mostchallenging an d expensive processes in hydrocarbon extraction and geothermal well development. Dysfunctionsfaced during drilling can increase the non-productive time (NPT) g reatly, resulting in inflatingthe drilling cost and also pose a safety concern. ”

    Reports Summarize Computational Intelligence Study Results from Harbin Institute of Technology (Csp-lite: Real-time and Efficient Keypoint-based Pedestrian Dete ction)

    6-6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 - Computational Intelligence.According to news reporting origina ting in Harbin, People’s Republic of China, by NewsRx journalists,research stat ed, “Keypoint-based methods eliminate the need for anchor boxes and provide a si mplifieddetection framework. Keypoint-based Center and Scale Prediction (CSP) a chieves the state-of-the-artaccuracy among pedestrian detectors.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),China Postdoctoral Science Foundation, China Postdoctoral Sc ience Foundation, Open Foundation ofthe Kuiyuan Laboratory, Aeronautical Scienc e Foundation, Fundamental Research Funds for the CentralUniversities.

    Investigators at Carnegie Mellon University Report Findings in Machine Learning (Machine Learning Prediction of Mechanical Properties In Metal Additive Manufact uring)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Investigators discuss new findings in Machine Learning. According to news originatingfrom Pittsburgh, Pennsylvania, b y NewsRx correspondents, research stated, “Predicting mechanicalproperties in m etal additive manufacturing (MAM) is essential for ensuring the performance and reliabilityof printed parts, as well as their suitability for specific applicat ions. However, conducting experimentsto estimate mechanical properties in MAM p rocesses can be laborious and expensive, and they are oftenlimited to specific materials and processes.”

    Institute of Applied Biosciences Reports Findings in Machine Learning (Machine L earning upon RDF Knowledge Graphs for Drug Safety: A Case Study on Reactome Data )

    10-10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 newsoriginating from Thessaloniki, Greece, by NewsRx correspondents, research stated, “Artificial Intelligence(AI), partic ularly Machine Learning (ML), has gained attention for its potential in various domains.However, approaches integrating symbolic AI with ML on Knowledge Graphs have not gained significantfocus yet.”

    Research from North South University Provides New Data on Artificial Intelligenc e (Who do you choose? Employees’ perceptions of artificial intelligence versus h umans in performance feedback)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators discuss new findings in artificial intelligence. According to news originating fromNorth South University by NewsR x editors, the research stated, “Firms have already begun integratingartificial intelligence (AI) as a replacement for conventional performance management syst ems owing toits technological superiority.”

    Findings from Indian Council of Agricultural Research (ICAR) Indian Agricultural Research Institute (IARI) Provides New Data on Machine Learning (Weather Based Wheat Yield Prediction Using Machine Learning)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Researchers detail new data in Machine Learning. According to news originating fromNew Delhi, India, by NewsRx corres pondents, research stated, “Wheat crops are highly affected by theinfluence of weather parameters. Thus, there is a need to develop and validate weather -based modelsusing machine learning for its reliable prediction.”

    University of Trieste Reports Findings in COVID-19 (A tailored machine learning approach for mortality prediction in severe COVID-19 treated with glucocorticoids)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Coronavirus - COVID-19 is the subject of a report. According to newsreporting from Trieste, Italy, by NewsRx journalists, research stated, “<sec> <title>BACKGROUND</title>The impact of severe COVID-19 pneumonia on health care systems highlighted the need foraccurate predictions to improve patient ou tcomes. Despite the established efficacy of glucocorticoids(GCs), variable pati ent responses are observed, and the existing clinical scores are limited in pred ictingnon-responders.”

    Studies from Northeastern University Yield New Data on Robotics (Adaptive Fuzzy Control of Wheeled Mobile Robots With Prescribed Trajectory Tracking Performance )

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators publish new report on Robotics. Acc ording to news reporting out of Shenyang,People’s Republic of China, by NewsRx editors, research stated, “The problem of fast accurate trajectorytracking for the underactuated wheeled mobile robots (WMRs) with unknown dynamics and externa ldisturbances is investigated in this article. A novel adaptive fuzzy prescribe d performance control strategyis proposed to deal with the problem.”