Showing 221 - 240 results of 6,350 for search '((pinn OR (fine OR find)) OR (((anna OR andai) OR ((speng OR spent) OR lingbo)) OR peng))', query time: 0.19s Refine Results
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    On the edge‐toughness of a graph. II by Peng, Y.H., Tay, T.S.

    Published 1993
    “…We also give a simpler proof to the following result of Peng et al.: For any positive integers r, s satisfying r/2 < s ≤ r, there exists an infinite family of graphs such that for each graph G in the family, λ(G) = r (where λ(G) is the edge‐connectivity of G) T1(G) = s, and G can be factored into s spanning trees.…”
    Article
  10. 230

    The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli by Sueoka, Yotaro, Paunov, Alexander, Tanner, Alyx, Blank, Idan A., Ivanova, Anna, Fedorenko, Evelina

    Published 2024
    “…Our results complement earlier findings from controlled experiments (e.g., Ivanova et al., 2021) in providing further evidence that the language network shows some sensitivity to semantic content in nonverbal stimuli.…”
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    Article
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    Short-term load forecasting by wavelet transform and evolutionary extreme learning machine by Li, Song, Wang, Peng, Goel, Lalit

    Published 2015
    “…The global search technique MABC is developed to find the best parameters of input weights and hidden biases for ELM. …”
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    Journal Article
  17. 237

    Cognitive versatility and adaptation to fluid participation in hospital emergency department teams by Aggarwal, Ishani, Mayo, Anna T., Murase, Toshio, Zhang, Evelyn Y., Aven, Brandy, Woolley, Anita Williams

    Published 2024
    “…Importantly, the presence of a cognitively versatile attending physician mitigates these negative outcomes, enhancing overall team effectiveness. Our findings remain robust even after accounting for other variables like team expertise and familiarity. …”
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    Journal Article
  18. 238

    A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network by Mohammed, Mohammed Falah, Chee, Peng Lim

    Published 2017
    “…The results compare favorably with those from other related models. The findings indicate that the newly introduced hyperbox winner selection rule coupled with the pruning strategy are useful for undertaking pattern classification problems.…”
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