Showing 1,041 - 1,060 results of 1,124 for search '(((pins OR shing) OR hinges) OR (((pick OR shina) OR ((pingat OR pin) OR sing)) OR ming))', query time: 0.19s Refine Results
  1. 1041

    An autonomous ultrasonic fastener holes inspection system of an aircraft lower wing skin by Lim, Chee Wei.

    Published 2008
    “…These cracks are unique in that it radial from the fastener's hole which made radiography nearly impossible in picking it up.…”
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    Thesis
  2. 1042
  3. 1043
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  6. 1046
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  8. 1048
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  10. 1050
  11. 1051

    Preliminary Investigation of 4D Printing Technology for Deployable UAV Development by Chua, Chee Kai, Teoh, J. E. M., Liu, Yong, An, J., Li, Y.

    Published 2016
    “…The investigation has also shown that the folding angles (0°, 15°, 30° and 60°) of the hinge for the back wing of UAV model is programmable and controllable. …”
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    Conference Paper
  12. 1052

    Dragonfly (Sympetrum flaveolum) flight : kinematic measurement and modelling by Chen, Y. H., Martin, Skote., Zhao, Y., Huang, W. M.

    Published 2013
    “…By applying more tracking points along the leading edge around the nodus, it is shown that the leading edge is not one rigid piece, but two pieces hinged at the nodus with physical constraint of forty degrees. …”
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    Journal Article
  13. 1053

    Oxford-IIIT TRECVID 2010 – notebook paper by Juneja, M, Chandra, S, Parkhi, OM, Jawahar, CV, Vedaldi, A, Marszalek, M, Zisserman, A

    Published 2010
    “…The two methods yielded a significantly different performance depending on the feature, as expected by their design: The χ<sup>2</sup>-SVM can be used for all feature types, including scene-like features such as Cityscape, Nighttime, Singing, but is outperformed by the object detector for object-like features, such as Boat or ship, Bus, and Person riding a bicycle. …”
    Conference item
  14. 1054

    ‘I don’t care who joins my choir’: investigating attitudes to diversity and inclusivity in lower- and upper-voice choirs in the United Kingdom by MacGregor, E

    Published 2024
    “…Recreational choral singing has long been a mainstay of amateur and community musicmaking in the United Kingdom, and there is much existing evidence for the potential social, physical, and psychological benefits of participation. …”
    Journal article
  15. 1055
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  17. 1057

    Developing Agility and Quickness / by Dawes, Jay, editor 522947, National Strength & Conditioning Association (U.S.) 422, Human Kinetics (Online service) 656055

    Published 2020
    “…Developing Agility and Quickness helps athletes blow past those barriers thanks to the top sport conditioning authority in the world, the National Strength and Conditioning Association. NSCA hand-picked its top experts to present the best training advice, drills, and programs for optimizing athletes’ linear and lateral movements. …”
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    software, multimedia
  18. 1058

    X-ray and ultrasonic testing techniques for defect inspection in composite by Zhou, David Yutian.

    Published 2013
    “…However, its ability in picking up incipient heat damage (Specimen A, B and C) is uncertain and requires further confirmation. …”
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    Final Year Project (FYP)
  19. 1059

    Deep reinforcement learning based resource allocation strategy in cloud-edge computing system by Ahmed Adhoni, Zameer, Habelalmateen, Mohammed I, D R, Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman

    Published 2024
    “…In this work, the research focus on the simulation testing of the MAL-DRL algorithm against classical Random Allocation (RA) and singe agent DRL methods. This exhibition shows that MAL-DRL improves the average latency more (44% savings) and at the same time more resources are used (35% increase) compared both the alternatives with a combined reward measure score of 0.80. …”
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    Conference or Workshop Item
  20. 1060

    Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

    Published 2017
    “…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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    Conference Paper