Showing 1,601 - 1,620 results of 2,716 for search '(((wing OR (((spina OR sspinae) OR shine) OR ying)) OR fine) OR (spike OR (peng OR ming)))', query time: 0.21s Refine Results
  1. 1601

    Scene understanding based on heterogeneous data fusion by Zhu, Lingzhi

    Published 2017
    “…This network achieves 0.77 mean average precision without any fine tuning. Moreover, after fine tuning process, the highest mAP score it can reach is 0.804. …”
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    Final Year Project (FYP)
  2. 1602
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    Investigation of the effects of distributed propulsion over a flying body by Lee, Ann

    Published 2023
    “…This project investigates the technique applied on a wing model. The effects of three parameters, namely rotational direction of propellers, total power output, and number of propellers were explored. …”
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    Final Year Project (FYP)
  5. 1605
  6. 1606

    Design and develop an ornithopter by Wahyu Benardo Fanthony

    Published 2011
    “…Animal in other hand has unique style; bird for example is able to flying by flapping the wings. It is very interesting way to perform flight. …”
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    Final Year Project (FYP)
  7. 1607
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    Komet by Lim, Guo Jun

    Published 2015
    “…Snow falls, star falls One step, one beginning Two worlds meet one A trail to ever last Butterfly city, never night city Red light, green light Ghosts of thousand faces Beckoning from the wall Good, bad, and ugly Stone ocean, iron sky Omens of million wings The lady fortune frowns So ends the pendulum Farewell goodbye An empty longing For things long gone -In memory of all good things-…”
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    Final Year Project (FYP)
  10. 1610
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    Strength improvement by surcharge and vacuum preloading by Lew, Chloe Yan Bin Jmi

    Published 2023
    “…This study used Kaolin as the sample material to examine the impact of vacuum and surcharge preloading on the undrained shear strength and soil-water characteristic curve of fine-grained soil. Consolidated kaolin samples were trimmed into cylindrical specimens and subjected to different pre-consolidation pressures. …”
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    Final Year Project (FYP)
  15. 1615

    Bi-factorial preference optimization: balancing safety-helpfulness in language models by Zhang, W, Torr, PHS, Elhoseiny, M, Bibi, A

    Published 2025
    “…Fine-tuning large language models (LLMs) on human preferences, typically through reinforcement learning from human feedback (RLHF), has proven successful in enhancing their capabilities. …”
    Conference item
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