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    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.”

    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.”

    Data on Hypothermia Reported by Zi-Xuan Zhang and Colleagues (Application value of machine learning models in predicting intraoperative hypothermia in laparosco pic surgery for polytrauma patients)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Hypothermia is the sub ject of a report. According to news reportingoriginating in Qingdao, People’s R epublic of China, by NewsRx journalists, research stated, “Hypothermiaduring la paroscopic surgery in patients with multiple trauma is a significant concern owi ng to itspotential complications. Machine learning models offer a promising app roach to predict the occurrenceof intraoperative hypothermia.”

    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.”

    New Study Findings from State Key Laboratory Illuminate Research in Thermal Engi neering (Enabling High-Degree-of-Freedom Thermal Engineering Calculations via Li ghtweight Machine Learning)

    16-17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 thermal engineering is now available. According to news reporting fromChengdu, People’s Republic of Ch ina, by NewsRx journalists, research stated, “U-tube steam generators(UTSGs) ar e crucial in nuclear power plants, serving as the interface between the primary and secondarycoolant loops.”Our news editors obtained a quote from the research from State Key Laboratory: “ UTSGs ensureefficient heat exchange, operational stability, and safety, directl y impacting the plant’s efficiency andreliability. Existing UTSG models have fi xed structures, which can only be used when certain parametersare given as mode l input. Such constraints hinder their ability to accommodate the diverse operat ingconditions, where input and output parameters can vary significantly. To add ress this challenge, we proposea machine learning-based method for developing a high-degree-of-freedom UTSG thermal model. The mostnotable feature of this app roach is its capacity to flexibly interchange input and output parameters. Byad opting comprehensive parameter sensitivity analysis, the most efficient method f or training datasetgeneration is determined.”

    KIIT Deemed to be University Researchers Update Current Data on Machine Learning (Optimization of machine learning models through quantization and data bit redu ction in healthcare datasets)

    17-17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 newsoriginating from Bhubaneswar, Indi a, by NewsRx correspondents, research stated, “This study focuses onenhancing c omplex machine learning models through quantization and data bit reduction. The primarygoal is to reduce processing time while maintaining model performance, w hich is particularly relevant forintricate models with prolonged execution times.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Chong qing University (Electrical Conductivity of Binary Magnesium Alloys: Integrating First-principles and Machine Learning Studies)

    18-18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 Chongqing, People’s Re public of China, by NewsRx editors, research stated, “The electricalconductivit y is the fundamental physical property of Mg alloys and the basic information fo r the design ofcomprehensive high-performance Mg alloys. In this work, the elec trical conductivity of 29 Mg-based binaryalloys has been calculated using the f irst-principles methods and the main factors have been analyzed bymachine learning.”

    Research Conducted at University of Cincinnati Has Provided New Information about Intelligence Technology (Hyperspectral Image Restoration Using Noise Gradient and Dual Priors Under Mixed Noise Conditions)

    19-19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 - Int elligence Technology is the subject of a report.According to news reporting out of Cincinnati, Ohio, by NewsRx editors, research stated, “Images obtainedfrom hyperspectral sensors provide information about the target area that extends bey ond the visibleportions of the electromagnetic spectrum. However, due to sensor limitations and imperfections during theimage acquisition and transmission pha ses, noise is introduced into the acquired image, which can have anegative impa ct on downstream analyses such as classification, target tracking, and spectral unmixing.”