Showing 1,401 - 1,420 results of 1,704 for search '((fineness OR (spine OR pingned)) OR (((pinaa OR ainaa) OR pin) OR ling))', query time: 0.18s Refine Results
  1. 1401

    一路走好 = A safe journey by See, Hui Qin

    Published 2022
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    Final Year Project (FYP)
  2. 1402
  3. 1403

    Seeds We Sow by Lai, Gerald Sze Hang

    Published 2023
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    Final Year Project (FYP)
  4. 1404

    Coexistence by Han, HuanHuan

    Published 2023
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    Final Year Project (FYP)
  5. 1405

    You think therefore I am. by Woo, Junhao Samuel.

    Published 2009
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    Final Year Project (FYP)
  6. 1406
  7. 1407
  8. 1408

    ComShell. by Ng, Yin Seng.

    Published 2012
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    Final Year Project (FYP)
  9. 1409

    (Dot) Type. by Godfrey, Vanessa Dora.

    Published 2013
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    Final Year Project (FYP)
  10. 1410
  11. 1411
  12. 1412

    Buaian chair by Lee, Ivy Jia Xin

    Published 2017
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    Final Year Project (FYP)
  13. 1413
  14. 1414

    2400 by Ang, Kai Lin

    Published 2018
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    Final Year Project (FYP)
  15. 1415
  16. 1416

    Morphology‐Directed Light Emission from Fluorescent Janus Colloids for Programmable Chemical‐To‐Optical Signal Transduction by Frank, Bradley D., Nagelberg, Sara, Baryzewska, Agata W., Simón Marqués, Pablo, Antonietti, Markus, Kolle, Mathias, Zeininger, Lukas

    Published 2024
    “…Informed by experimental observations of morphology‐dependent optical confinement of internally emitted light within the higher refractive index phases, ray‐tracing is used to predict and fine‐tune the droplets’ optical properties and their ability to concentrate light. …”
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    Article
  17. 1417

    Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization by Majumder, Navonil, Hung, Chia-Yu, Ghosal, Deepanway, Hsu, Wei-Ning, Mihalcea, Rada, Poria, Soujanya

    Published 2024
    “…The loser outputs, in theory, have some concepts from the prompt missing or in an incorrect order. We fine-tune the publicly available Tango text-to-audio model using diffusion-DPO (direct preference optimization) loss on our preference dataset and show that it leads to improved audio output over Tango and AudioLDM2, in terms of both automatic- and manual-evaluation metrics.…”
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    Article
  18. 1418

    Defects in β-cell Ca2+ dynamics in age-induced diabetes by Li, Luosheng, Trifunovic, Aleksandra, Köhler, Martin, Wang, Yixin, Petrovic Berglund, Jelena, Illies, Christopher, Juntti-Berggren, Lisa, Larsson, Nils-Göran, Berggren, Per-Olof

    Published 2015
    “…Our data suggest that aging is associated with a progressive decline in β-cell mitochondrial function that negatively impacts on the fine tuning of Ca2+ dynamics. This is conceptually important since it emphasizes that even relatively modest changes in β-cell signal transduction over time lead to compromised insulin release and a diabetic phenotype.…”
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    Journal Article
  19. 1419

    A two-stage outlier filtering framework for city-scale localization using 3D SfM point clouds by Cheng, Wentao, Chen, Kan, Lin, Weisi, Goesele, Michael, Zhang, Xinfeng, Zhang, Yabin

    Published 2020
    “…Second, we apply a geometry-based outlier filter to generate a set of fine-grained matches with a novel data-driven geometrical constraint for efficient inlier evaluation. …”
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    Journal Article
  20. 1420

    Soil liquefaction assessment using soft computing approaches based on capacity energy concept by Chen, Zhixiong, Li, Hongrui, Goh, Anthony Teck Chee, Wu, Chongzhi, Zhang, Wengang

    Published 2021
    “…Several liquefaction evaluation procedures and approaches have been developed relating the capacity energy to the initial soil parameters, such as the relative density, initial effective confining pressure, fine contents, and soil textural properties. In this study, based on the capacity energy database by Baziar et al. (2011), analyses have been carried out on a total of 405 previously published tests using soft computing approaches, including Ridge, Lasso & LassoCV, Random Forest, eXtreme Gradient Boost (XGBoost), and Multivariate Adaptive Regression Splines (MARS) approaches, to assess the capacity energy required to trigger liquefaction in sand and silty sands. …”
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    Journal Article