Showing 241 - 260 results of 6,911 for search '((saint OR (spike OR find)) OR (((ling OR ligo) OR ((pina OR ying) OR bin)) OR ming))', query time: 0.22s Refine Results
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    Cardblocks by Muhammad Sabri Bin Shaifordin

    Published 2016
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    Final Year Project (FYP)
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    Consumer's perceptions of private labels by Acharigae, Shaminta, Chong, Lian Chiu, Quek, Ying Ying

    Published 2008
    “…This paper aims to explore consumers’ perceptions of Private Labels and the possible implications for manufacturers and supermarket retailers in the Singaporean context. Findings will help define the direction in which local retailers should take Private Labels in the near future and the manufacturers’ role in this initiative.…”
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    Final Year Project (FYP)
  12. 252

    What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

    Published 2024
    “…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. Discussion: These findings provide new insights into developing health communication strategies on social media, particularly targeted toward the youth demographic, enhancing our understanding of effective health information dissemination in digital environments.…”
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    Article
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    Mining big spatial data by Lee, Ming Da

    Published 2022
    “…This project will be using four different visualization techniques, such as hex bin, kernel density estimation, heatmap and datashader, and three different point pattern analysis techniques, namely quadrant statistic, average nearest neighbor and centrography, to analyze road traffic accident data. …”
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    Final Year Project (FYP)
  19. 259

    Toward conversational interpretations of neural networks: data collection by Yeow, Ming Xuan

    Published 2024
    “…However, they are also blackboxes, which human experts find difficult to understand. Recent work performed at NTU and internationally suggests that conversation is an effective form of interpreting neural networks to layperson users. …”
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    Final Year Project (FYP)
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