Showing 81 - 100 results of 4,934 for search '((((cheers OR (cheen OR chenn)) OR cheese) OR ((cheer OR chee) OR when)) OR bear)*', query time: 0.20s Refine Results
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    A methodology to evaluate the effectiveness of designers’ cognitive process when using multi-user virtual reality by Azizo, Adlin Shaflina, Ali, Kherun Nita, A.Iahad, Noorminshah, Mohd., Norhazren Izatie, Mat Dzahir, Mohd. Azwarie, Abdul Rahiman, Nafisah

    Published 2022
    “…This paper proposed the mixed-mode methodology to evaluate the effectiveness of the cognitive process when using Multi-user Virtual Reality (VR) in the design review sessions. …”
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    Article
  3. 83

    A review of feature extraction methods in vibration-based condition monitoring and its application for degradation trend estimation of low-speed slew bearing by Caesarendra, Wahyu, Tjahjowidodo, Tegoeh

    Published 2018
    “…This paper presents an empirical study of feature extraction methods for the application of low-speed slew bearing condition monitoring. The aim of the study is to find the proper features that represent the degradation condition of slew bearing rotating at very low speed (≈ 1 r/min) with naturally defect. …”
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    Journal Article
  4. 84

    3D content recovery and complexity reduction by Tan, Cheen Hau

    Published 2015
    “…The proposed method improves on the Singular Value Thresholding method significantly, especially when mocap data joints are missing for many consecutive frames. …”
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    Thesis
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    Factors affecting the decision making process of customer when their salesperson jumps ship to another firm : an analysis of the Singapore insurance industry by Soh, Yong Joo, Lim, Elijah Vincent Deyuan, Yan, Naung Htut

    Published 2011
    “…Results showed that customers will choose to follow their agent to a new firm when they are very satisfied with their agent; they trust their agent and they are loyal to their agent. …”
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    Final Year Project (FYP)
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    Determining optimal timing of birth for women with chronic or gestational hypertension at term: the WILL (When to Induce Labour to Limit risk in pregnancy hypertension) randomised trial by Magee, LA, Kirkham, K, Tohill, S, Gkini, E, Moakes, CA, Dorling, J, Green, M, Hutcheon, JA, Javed, M, Kigozi, J, Mol, BWM, Singer, J, Hardy, P, Stubbs, C, Thornton, JG, von Dadelszen, P, WILL Trial Study Group

    Published 2024
    “…A total of 403 participants (37.3% of target) were randomised to the intervention (n = 201) or control group (n = 202), from 3 June 2019 to 19 December 2022, when the funder stopped the trial for delayed recruitment. …”
    Journal article
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