Showing 61 - 80 results of 11,145 for search '((beenr OR (((beens OR sees) OR end) OR means)) OR been)', query time: 0.21s Refine Results
  1. 61

    Seeing god makes me feel immoral : the role of anthropomorphic god concepts in moral emotions by Yap, Yu Xiang

    Published 2019
    “…Such varying construals of God have previously been found to influence an individual’s moral judgment and behaviour. …”
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    Final Year Project (FYP)
  2. 62

    Shared spaces & identity, culture and meaning: a study on the role of integrated community hubs on social interaction, meaning-making & identity creation in neighbourhoods by Haikal Afiq Bin Mohd Rizal, Ng, Patrick Wei Sheng

    Published 2024
    “…Integrated Community Hubs (ICHs) have increasingly been a notable infrastructure project that seeks to maximise social impact with minimal land use. …”
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    Final Year Project (FYP)
  3. 63
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    The end is pending : an essay in waiting. by Kwok, Yijun.

    Published 2011
    “…In waiting, one appears to be in submission to the wait, despite the possibility that in the end – if there is an end – there is nothing to reap. …”
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    Final Year Project (FYP)
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    Dictionary training for sparse representation as generalization of K-means clustering by Sahoo, Sujit Kumar, Makur, Anamitra

    Published 2013
    “…It shows: though K-SVD is sequential like K-means, it fails to simplify to K-means by destroying the structure in the sparse coefficients. …”
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    Journal Article
  9. 69
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    Mean-field approximation for networks with synchrony-driven adaptive coupling by Fennelly, N, Neff, A, Lambiotte, R, Keane, A, Byrne, A

    Published 2025
    “…We explore two distinct implementations of this plasticity: pairwise updates to individual coupling strengths and global updates applied to the mean coupling strength. We derive a mean-field approximation and assess its accuracy by comparing it to θ-neuron simulations across various stability regimes. …”
    Journal article
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    See-Star: a versatile hydrogel-based protocol for clearing large, opaque and calcified marine invertebrates by Clarke, D. N., Formery, L., Lowe, C. J.

    Published 2024
    “…To address this problem, we developed See-Star, a hydrogel-based tissue clearing protocol to render the bodies of opaque and calcified invertebrates optically transparent while preserving their anatomy in an unperturbed state, facilitating molecular labeling and observation of intact organ systems. …”
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    Article
  13. 73
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    End-to-end simulation of high-contrast imaging systems: methods and results for the PICTURE mission family by Douglas, Ewan S., Hewawasam, Kuravi, Mendillo, Christopher B., Cahoy, Kerri L, Cook, Timothy A., Finn, Susanna C. Finn, Howe, Glenn A., Kuchner, Marc, J., Lewis, Nikole K., Marinan, Anne D., Mawet, Dimitri, Chakrabarti, Supriya

    Published 2017
    “…This work details the flexible approach to polychromatic, end-to-end physical optics simulations used for both the balloon vector vortex coronagraph and rocket visible nulling coronagraph missions. …”
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    Preprint
  15. 75

    Characterization and application of natural and recombinant butelase-1 to improve industrial enzymes by end-to-end circularization by Hemu, Xinya, Zhang, Xiaohong, Nguyen, Giang K. T., To, Janet, Serra, Aida, Loo, Shining, Sze, Siu Kwan, Liu, Chuan-Fa, Tam, James P.

    Published 2022
    “…Overall, improved production of butelase-1 can be exploited to improve the biocatalytic efficacy of lipase and phytase by end-to-end cyclization. In turn, ligase-improved enzymes could be a general and environmentally friendly strategy for producing more stable and efficient industrial enzymes.…”
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    Journal Article
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    Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI by Fahimi, Fatemeh, Zhang, Zhuo, Goh, Wooi Boon, Lee, Tih-Shi, Ang, Kai Keng, Guan, Cuntai

    Published 2020
    “…Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In this paper, we propose a framework based on the deep convolutional neural network (CNN) to detect the attentive mental state from single-channel raw electroencephalography (EEG) data.…”
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    Journal Article
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