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    Long-term re-identification by Eng, Yao Hui

    Published 2023
    “…Person re-identification (Re-ID) is a problem that has existed for many years and many state of-the-art short-term Re-ID models have been created. …”
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    Final Year Project (FYP)
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    Person re-identification for long term outfit problem by Wei, Zilai

    Published 2023
    “…This dissertation proposes a long-term clothing-changing person re-identification (Re-ID) method, which addresses the challenge of identifying individuals who usually change their clothing over long periods of time. …”
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    Thesis-Master by Coursework
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    Helicobacter pylori infection can affect energy modulating hormones and body weight in germ free mice by Loke, Mun Fai, Vadivelu, Jamuna, Tan, Tuan Lin, Wong, Whye Yen, Khosravi, Yalda, Seow, Shih Wee, Amoyo, Arlaine Anne, Chiow, Kher Hsin, Poh, Qian Hui, Sentosa, Ignatius Mario Doli, Bunte, Ralph M., Pettersson, Sven

    Published 2015
    “…To assess whether a H. pylori infection could affect growth in early life, we determined the expression levels of selected metabolic gut hormones in germ free (GF) and specific pathogen-free (SPF) mice with and without the presence of H. pylori. …”
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    Journal Article
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    Automatic and efficient long term arm and hand tracking for continuous sign language TV broadcasts by Pfister, T, Charles, J, Everingham, M, Zisserman, A

    Published 2012
    “…We present a fully automatic arm and hand tracker that detects joint positions over continuous sign language video sequences of more than an hour in length. …”
    Conference item
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    Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

    Published 2025
    “…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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    Article
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    Laplacian Regularized Subspace Learning for interactive image re-ranking by Zhang, Lining., Wang, Lipo., Lin, Weisi.

    Published 2013
    “…In this paper, we propose a novel subspace learning based IR scheme by using a graph embedding framework, termed Laplacian Regularized Subspace Learning (LRSL). …”
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    Conference Paper
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    Mechanisms of long-term presynaptic plasticity at Schaffer-collateral synapses by Padamsey, Z

    Published 2014
    “…The two most common forms of plasticity are long-term potentiation (LTP) and long-term depression (LTD), both of which can be supported either by presynaptic changes in transmitter release probability (Pr), or by postsynaptic changes in AMPA receptor number. …”
    Thesis
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    Multi-criteria re-entrant jobs scheduling problems using GA and AHP by Lin, Danping.

    Published 2013
    “…However, in practical terms, the circumstance is more complicated. A more practical solution that can deal with dynamic re-entrant scheduling, as well as cover both qualitative and quantitative factors, is required. …”
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    Thesis
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    A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints by Lee, Guo Xiong, Low, Kay-Soon

    Published 2013
    “…Different from the conventional approach, we propose using the factorized quaternion approach for the determination of arm motions. This approach allows the implementation of anatomical arm constraints which match the range of motion of the human arm and also reduces the ambiguity in solutions. …”
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    Journal Article