Showing 101 - 120 results of 147 for search '(("selection a") OR ((((("selection based") OR ("skeleton based"))) OR ("simulation based"))))', query time: 0.17s Refine Results
  1. 101

    Application of feature selection algorithms in gene expression data analysis by Wang, Ruiping.

    Published 2010
    “…In this report, we consider the problem of applying feature selection techniques to select a small subset of informative biomarkers from DNA microarray data.…”
    Get full text
    Final Year Project (FYP)
  2. 102

    Encapsulation of host-derived probiotics using functional polysaccharides by Wong, Liqi

    Published 2023
    “…Needle extrusion was employed to encapsulate the bacteria with alginate and Kappa-Carrageenan (KC), with alginate being the “golden standard” for probiotic encapsulation and KC being selected based on its Short Chain Fatty Acids (SCFAs) production and the change in the gut bacteria composition after co-incubation. …”
    Get full text
    Final Year Project (FYP)
  3. 103

    Feasibility study on tidal energy harnessing using underground cavern by Lim, Yong Siang

    Published 2017
    “…Finally, Kaplan Turbines and Piston Pumps were selected based off its capability in coping with large discharge rates. …”
    Get full text
    Final Year Project (FYP)
  4. 104

    Computational rheometry of yielding and viscoplastic flow in vane-and-cup rheometer fixtures by Chaparian, Emad, Owens, Crystal E., McKinley, Gareth H.

    Published 2024
    “…A planar two-dimensional computational analysis is presented to qualify traditional and fractal vane-in-cup geometries for accurate rheometry of simple viscoplastic fluids with and without slip. Numerical simulations based on an adaptive augmented Lagrangian scheme are used to study the two-dimensional flow field of yield-stress fluids within and around vane tools with N=3 to 24 arms for a wide range of Bingham numbers, B (i.e. the ratio of the yield stress over the characteristic viscous stress). …”
    Get full text
    Article
  5. 105

    A survery on CNN transfer learning for image classification by Teo, Jia Sheng

    Published 2023
    “…There are various ways a user can go about selecting a Convolutional Neural Net- work model for their work. …”
    Get full text
    Final Year Project (FYP)
  6. 106
  7. 107

    Atomic scale modulation of self‐rectifying resistive switching by interfacial defects by Wu, Xing, Yu, Kaihao, Cha, Dongkyu, Bosman, Michel, Raghavan, Nagarajan, Zhang, Xixiang, Li, Kun, Liu, Qi, Sun, Litao, Pey, Kinleong

    Published 2018
    “…Higher memory density and faster computational performance of resistive switching cells require reliable array‐accessible architecture. However, selecting a designated cell within a crossbar array without interference from sneak path currents through neighboring cells is a general problem. …”
    Get full text
    Get full text
    Journal Article
  8. 108

    Decentralized Data Markets by Lu, Charles

    Published 2024
    “…I propose two federated techniques to automatically select a subset of data sellers and datapoints for a buyer given some sample data. …”
    Get full text
    Get full text
    Thesis
  9. 109

    Melonic limits of the quartic Yukawa model and general features of melonic CFTs by Fraser-Taliente, L, Wheater, J

    Published 2025
    “…We reproduce these fixed points non-perturbatively using the Schwinger-Dyson equations, and in addition identify the supersymmetric fixed points in general dimension. Selecting a particular fermionic fixed point, we study its conformal spectrum non-perturbatively, comparing it to the sextic prismatic model. …”
    Journal article
  10. 110

    Object retrieval with large vocabularies and fast spatial matching by Philbin, J, Chum, O, Isard, M, Sivic, J, Zisserman, A

    Published 2007
    “…The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of images that contain the same object, retrieved from a large corpus. …”
    Conference item
  11. 111

    A sparse kernel algorithm for online time series data prediction by Fan, Haijin, Song, Qing

    Published 2013
    “…To make the kernel methods suitable for online learning, we propose a sparsification method based on the Hessian matrix of the system loss function to continuously examine the significance of the new training sample in order to select a sparse dictionary (support vector set). The Hessian matrix is equivalent to the correlation matrix of sample inputs in the kernel weight updating using the recursive least square (RLS) algorithm. …”
    Get full text
    Get full text
    Get full text
    Journal Article
  12. 112

    Information cascades and the collapse of cooperation by Yang, Guoli, Csikász-Nagy, Attila, Waites, William, Xiao, Gaoxi, Cavaliere, Matteo

    Published 2021
    “…In various types of structured communities newcomers choose their interaction partners by selecting a role-model and copying their social networks. …”
    Get full text
    Journal Article
  13. 113
  14. 114

    Automating feature engineering in machine Learning by Zhu, Haoyu

    Published 2020
    “…Experiments using the unified function on different datasets showed the potentials to eradicate manual efforts in selecting a subset of useful features.…”
    Get full text
    Final Year Project (FYP)
  15. 115

    BadSFL: backdoor attack in scaffold federated learning by Zhang, Xuanye

    Published 2024
    “…It maintains stealthiness by selecting a specific feature as a backdoor trigger and utilizes Scaffold's control variate to predict the global model's convergence direction, ensuring the persistence of the backdoor function the within global model. …”
    Get full text
    Final Year Project (FYP)
  16. 116

    Handheld light painting application by Ng, Nicholas Bing Xian

    Published 2016
    “…The handheld light painting application integrates an Arduino microcontroller and Raspberry Pi microprocessor together, allowing users to select a pre-loaded image in the memory card for light painting. …”
    Get full text
    Final Year Project (FYP)
  17. 117

    Improved life cycle assessment for desalination : handling the choices and uncertainties by Zhou, Jin

    Published 2014
    “…The system boundary and characterization approach was selected based on our previous findings. This work provided the environment profile of Singapore’s desalinations with improved reliability. …”
    Get full text
    Thesis
  18. 118

    Structural modelling of the DNAJB6 oligomeric chaperone shows a peptide-binding cleft lined with conserved S/T-residues at the dimer interface by Söderberg, Christopher A. G., Månsson, Cecilia, Bernfur, Katja, Rutsdottir, Gudrun, Härmark, Johan, Rajan, Sreekanth, Al-Karadaghi, Salam, Rasmussen, Morten, Höjrup, Peter, Hebert, Hans, Emanuelsson, Cecilia

    Published 2018
    “…Lysine-specific crosslinking mass spectrometry provided distance constraints to select a homology model of the DNAJB6 monomer, which was subsequently used in crosslink-assisted docking to generate a dimer model. …”
    Get full text
    Get full text
    Journal Article
  19. 119

    Knowledge of autism spectrum disorder among parents in Hospital Universiti Sains Malaysia by Diah, Nazihah Mohmad

    Published 2024
    “…A sample size of 94 parents was selected. A knowledge score was categorized into low level, medium level and high level of knowledge. …”
    Get full text
    Monograph
  20. 120

    Dimensionality-dependent type-II Weyl semimetal state in Mo₀.₂₅W₀.₇₅Te₂ by Li, Peiling, Deng, Ya, Hsu, Chuang-Han, Zhu, Chao, Cui, Jian, Yang, Xue, Zhou, Jiadong, Hung, Yi-Chun, Fan, Jie, Ji, Zhongqing, Qu, Fanming, Shen, Jie, Yang, Changli, Jing, Xiunian, Lin, Hsin, Liu, Zheng, Lu, Li, Liu, Guangtong

    Published 2022
    “…Recently, Mo$_{0.25}$W$_{0.75}$Te$_{2}$ has been established as a type-II WSM with Weyl points located near Fermi level, which offers an opportunity to study its intriguing band structure by electrical transport measurements. Here, by selecting a special sample with the thickness gradient across two- (2D) and three-dimensional (3D) regime, we show strong evidences that Mo$_{0.25}$W$_{0.75}$Te$_{2}$ is a type-II Weyl semimetal by observing the following two dimensionality-dependent transport features: 1) A chiral-anomaly-induced anisotropic magneto-conductivity enhancement, proportional to the square of in-plane magnetic field (B$_{in}$$^{2}$); 2) An additional quantum oscillation with thickness-dependent phase shift. …”
    Get full text
    Journal Article