Showing 541 - 560 results of 6,241 for search '(cherng OR ((((cheer OR chees) OR (chen OR when)) OR (cheens OR sheers)) OR cher))', query time: 0.22s Refine Results
  1. 541

    Portfolio insurance strategies : a comparison of OBPI versus CPPI by Chen, Xinyi, Zhang, Jenny Bi Zhen, Liu, Xinyi

    Published 2011
    “…Furthermore, the Sharpe and Sortino ratios indicate that OBPI outperforms CPPI in bullish years and when the market is moderately volatile. Only in situations when the market is extremely volatile does CPPI perform better than OBPI. …”
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    Final Year Project (FYP)
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    Context-aware deep model for joint mobility and time prediction by Chen, Yile, Long, Cheng, Cong, Gao, Li, Chenliang

    Published 2021
    “…We argue that it is more useful to know not only where but also when a user will arrive next in many scenarios such as targeted advertising and taxi service. …”
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    Conference Paper
  6. 546

    Study on the combined sewage sludge pyrolysis and gasification process : mass and energy balance by Wang, Zhonghui, Chen, Dezhen, Song, Xueding, Zhao, Lei

    Published 2012
    “…For sewage sludge with a moisture content of 80 wt%, LHV(db) of sewage sludge should be higher than 18 MJ/kg and the pyrolysis temperature should be higher than 450 °C to maintain energy self-sufficiency when volatile from the pyrolysis process is the only energy supplier; when the LHV(db) was in the range of 14.65–18 MJ/kg, energy self-balance could be maintained in this combined process with fuel gas from char gasification as a supplementary fuel; auxiliary fuel was always needed if the LHV(db) was lower than 14.65 MJ/kg.…”
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    Journal Article
  7. 547

    Optical properties of two-dimensional semi-conductive MXene Sc₂COₓ produced by sputtering by Chen, Qiran, Zhang, Daohua, Pan, Jisheng, Fan, Weijun

    Published 2021
    “…Structure of MXene will be broken when the annealing temperature is higher than 600 °C.…”
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    Journal Article
  8. 548

    A hamming distance and spearman correlation based star identification algorithm by Samirbhai, Mehta Deval, Chen, Shoushun, Low, Kay Soon

    Published 2019
    “…The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. …”
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    Journal Article
  9. 549

    Compressed event sensing (CES) volumes for event cameras by Lin, Songnan, Ma, Ye, Chen, Jing, Wen, Bihan

    Published 2024
    “…In addition, our theoretical analysis show that, when integrated with a neural network, CES volumes demonstrates greater expressive power under the neural tangent kernel approximation. …”
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    Journal Article
  10. 550

    Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling by Blanca, Antonio, Chen, Zongchen, Stefankovic, Daniel, Vigoda, Eric

    Published 2024
    “…Given as input an explicit distribution , an > 0, and access to sampling oracle(s) for a hidden distribution , the goal in identity testing is to distinguish whether the two distributions and are identical or are at least -far apart. When there is only access to full samples from the hidden distribution , it is known that exponentially many samples (in the dimension) may be needed for identity testing, and hence previous works have studied identity testing with additional access to various “conditional” sampling oracles. …”
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    Article
  11. 551

    Expressing passion for luxury enhances perceived authenticity by Jung, SungJin, Chen, Charlene Yijun, Yap, Andy

    Published 2024
    “…Consumers are often viewed unfavorably when using luxury products. They are seen as seeking status and managing impressions, and therefore judged as inauthentic. …”
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    Journal Article
  12. 552

    Laplacian embedded regression for scalable manifold regularization by Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong

    Published 2013
    “…The benefits of the transformed kernel are two-fold: (1) we can deal with the original kernel matrix and the graph Laplacian matrix in the graph kernel separately and (2) if the graph Laplacian matrix is sparse, we only need to perform the inverse operation for a sparse matrix, which is much more efficient when compared with that for a dense one. Inspired by kernel principal component analysis, we further propose to project the introduced decision variable into a subspace spanned by a few eigenvectors of the graph Laplacian matrix in order to better reflect the data manifold, as well as accelerate the calculation of the graph kernel, allowing our methods to efficiently and effectively cope with large scale SSL problems. …”
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    Journal Article
  13. 553

    Tumor-targeted nano-assemblies for energy-blocking cocktail therapy in cancer by Chen, Manling, Liu, Yidu, Li, Yang, Liu, Xue

    Published 2024
    “…However, its antitumor efficacy is limited when used alone due to compensatory energy mechanisms. …”
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    Journal Article
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