Showing 161 - 180 results of 42,194 for search '(((( ((a latest) OR (a latent)) decrease ) OR ( a largest decrease ))) OR ( a large increases ))', query time: 0.72s Refine Results
  1. 161

    Large-Scale Spinning Approach to Engineering Knittable Hydrogel Fiber for Soft Robots by Xiangyu Duan (9535372)

    Published 2020
    “…This work not only demonstrates an example for the large-scale production of previous infeasible hydrogel fibers, but also provides a solution for the rational design and fabrication of hydrogel woven intelligent devices.…”
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    Propagation of a PP across in a large RPN (a), and SNR of a large RPN when inter-layer connection strengh and delay are changed (a). by Hedyeh Rezaei (9226021)

    Published 2020
    “…<b>(a)</b> The first layer of a large RPN was stimulated with a PP and it propagated to the 10<i>th</i> layer of the network within 2–3 oscillation cycles. …”
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    DataSheet1_Remote sensing modeling of environmental influences on lake fish resources by machine learning: A practice in the largest freshwater lake of China.docx by Tan Chen (571832)

    Published 2022
    “…The results also showed that fish catches of aquatic species in Poyang Lake are more susceptible to water ecological variables than water quality refers to the model performance improvements by different input variable selections. In addition, a multi-dimension variable combination involving hydrometeorological conditions, water quality, and water ecological variables derived from remote sensing can maximally optimize the model performance of fish catch simulation (R increased by 21%, and RMSE decreased by 4,300 tons). …”
  11. 171

    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”
  12. 172

    Identification strength with a large number of moments by Hyojin Han (9269885)

    Published 2020
    “…We provide an understanding of the benefits of a large number of moments that compensate the weakness of individual moments by explicitly showing how an increasing number of moments improves the rate of convergence in GMM.…”
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