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    16.901 Computational Methods in Aerospace Engineering, Spring 2003 by Darmofal, David L.

    Published 2003
    Subjects: “…numerical integration…”
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    Learning Object
  5. 185
  6. 186

    16.901 Computational Methods in Aerospace Engineering, Spring 2005 by Darmofal, David

    Published 2005
    Subjects: “…numerical integration…”
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    Learning Object
  7. 187

    Conical flow modeling for polygonal cross section bodies at off design conditions. by Kamkar, Hamid.

    Published 2025
    Subjects: “…Boundary value problems Numerical solutions.…”
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    Thesis
  8. 188

    A binary level set model and some applications to Mumford-Shah image segmentation by Lie, Johan, Lysaker, Marius, Tai, Xue Cheng

    Published 2009
    Subjects: “…DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis…”
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    Journal Article
  9. 189

    16.90 Computational Methods in Aerospace Engineering, Spring 2014 by Willcox, Karen, Wang, Qiqi

    Published 2022
    Subjects: “…numerical integration…”
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    Learning Object
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    Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis? by Wang, Qingyi, Wang, Shenhao, Zheng, Yunhan, Lin, Hongzhou, Zhang, Xiaohu, Zhao, Jinhua, Walker, Joan

    Published 2024
    “…Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. …”
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    Article
  16. 196

    Integrated patient monitoring system by Choo, Kok Boon.

    Published 2013
    “…The four displays were: Numeric Display, Polygon with Line Trend, Parallel Coordinate with Line Trend and finally Parallel Coordinate with Dot Trend. …”
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    Final Year Project (FYP)
  17. 197

    An encoding scheme capturing generic priors and properties of amino acids improves protein classification by Zhou, Xinrui, Yin, Rui, Zheng, Jie, Kwoh, Chee-Keong

    Published 2019
    “…Feature engineering aims at representing non-numeric data with numeric features that keep the essential information of the underlying problem, and it is a non-trivial process in building a predictive model. …”
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    Journal Article
  18. 198

    Investigation of the pulse dynamics in fiber lasers by Xu, Huining

    Published 2015
    “…In this paper we will make use of this mode-locked fiber laser with nonlinear polarization rotation technique to do some numeric simulation and experiment measurements. …”
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    Final Year Project (FYP)
  19. 199

    Adjustable high heel shoes by He, Jiayi

    Published 2024
    “…Through a series of prototypes, the study investigates the feasibility of a telescopic heel mechanism, operable via a mobile app, which allows for height adjustment without sacrificing the shoe's aesthetic appeal or structural integrity. Utilizing Computer numeric control machine (CNC) and 3D printing technology, the research culminates in a final design that boasts an increased extension ratio, and improved safety features, marking an innovation in high-heel footwear technology.…”
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    Final Year Project (FYP)
  20. 200

    Application of the affine stochastic model on Singapore mortality data. by Chia, Fu Yuan., Meng, Deshuo., Zou, Deshun.

    Published 2008
    “…Kalman Filter technique is adopted to facilitate the derivation of the maximum-likelihood estimators (MLE) and EM-algorithm with direct search technique is applied in finding the numeric estimates for the MLE. The affine stochastic state-space model allows us to capture two important features of mortality rates: time dependency and uncertainty of the future development. …”
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    Final Year Project (FYP)