Showing 2,321 - 2,340 results of 3,897 for search '(((((ping OR ling) OR min) OR link) OR xingge) OR ((ssspingggna OR ssspingna) OR pin))', query time: 0.18s Refine Results
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    Scaling of the velocity profile in strongly drag reduced turbulent flows over an oscillating wall by Skote, Martin

    Published 2016
    “…As a result, logarithmic part is influenced by both velocity scales and the slope of the velocity profile is directly linked to the DR. The theoretically obtained results are verified by data from six previously performed direct numerical simulations (DNSs) of boundary layers over spatial and temporal wall oscillations, with a wide range of resulting DR. …”
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    Journal Article
  5. 2325

    The discrete-time second-best dynamic road pricing scheme by Han, Linghui, Wang, David Zhi Wei, Zhu, Chengjuan

    Published 2017
    “…In this study, we aim to develop a more practical second-best dynamic road pricing scheme implemented on a subset of links, which can drive the traffic evolution towards the desired second-best traffic user equilibrium state from any initial traffic state. …”
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    Conference Paper
  6. 2326

    Reduced semiconductor energy conversion systems. by Zhang, Lei.

    Published 2013
    “…Unfortunately, the nine-switch converter is presently burdened by high de-link voltage and heavily limited phase-shift between its terminal outputs even though it has been proven to work in motor drives and UPSs. …”
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    Thesis
  7. 2327

    Optimization of surface roughness on duplex stainless steel in dry milling by Nurul Hidayah, Razak, Mohammad Rizal, Md Ali

    Published 2024
    “…An optimum machining parameters speed of cutting of 78.283 mm/min, rate of feed of 0.100 mm/tooth and axial depth of 0.834 mm is identified as the optimum values.…”
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    Conference or Workshop Item
  8. 2328

    Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

    Published 2024
    “…Before training, the dataset is normalized using the min-max normalization technique to reduce the influence of noise. …”
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    Article
  9. 2329

    Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation stud by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

    Published 2021
    “…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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    Article
  10. 2330

    Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation study by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

    Published 2021
    “…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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    Article
  11. 2331

    Query lower bounds for log-concave sampling by Chewi, Sinho, de Dios Pont, Jaume, Li, Jerry, Lu, Chen, Narayanan, Shyam

    Published 2024
    “…In this work, we establish the following query lower bounds: (1) sampling from strongly log-concave and log-smooth distributions in dimension ≥ 2 requires Ω(log) queries, which is sharp in any constant dimension, and (2) sampling from Gaussians in dimension (hence also from general log-concave and log-smooth distributions in dimension) requires Ωe(min( √ log,)) queries, which is nearly sharp for the class of Gaussians. …”
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    Article
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