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  1. 1761

    Lasso environment model combination for robust speech recognition by Xiao, Xiong, Li, Jinyu, Chng, Eng Siong, Li, Haizhou

    Published 2013
    “…We propose to estimate the weights by using Lasso (least absolute shrinkage and selection operator) which imposes an L1 regularization term in the weight estimation problem to shrink some weights to exactly zero. …”
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    Conference Paper
  2. 1762

    Exploring green solvent systems and enhanced solubility of xanthone in triglyceride‑based tricaprin‑tricaprylin mixtures with thermodynamic insights by Liu, Hua, Stanslas, Johnson, Ren, Jiaoyan, Suleiman, Norhidayah, Chong, Gun-Hean

    Published 2024
    “…The solubility data were effectively correlated using the local composition-regular solution theory (LC-RST) model and achieved an ARDln value of 4.8 × 10–3. …”
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    Article
  3. 1763

    Formation of Representations in Neural Networks by Ziyin, Liu, Chuang, Isaac, Galanti, Tomer, Poggio, Tomaso

    Published 2024
    “…We present a minimal-assumption theory demonstrating that the balance between gradient noise and regularization is crucial for the emergence the canonical representation. …”
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    Article
  4. 1764

    Optimizing Cas9-mediated HDR in HEK293 by Lee, Cheryl

    Published 2022
    “…The most widely used genome editing tool is the Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR associated proteins (Cas) system. …”
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    Final Year Project (FYP)
  5. 1765

    A theory of zeugma by Yeo, Jia Qi

    Published 2023
    “…I then identify basic structures for the three subtypes of nominal, verbal and adjectival zeugma, and consolidate several disparate concepts previously mentioned in relation to zeugma, including homonymy, regular and irregular polysemy, and Segmented Discourse Representation Theory. …”
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    Final Year Project (FYP)
  6. 1766

    Dynamical analysis of physiologic signals by Noraznita Ramli.

    Published 2010
    “…ApEn is a measurement designed to quantify the degree of regularity versus unpredictability in a given dataset. [5] DFA is a fractal-related method that provides for estimation of scaling exponents. [6, 7] The purpose of applying these methods is to see whether such techniques based on dynamical analysis add information to conventional statistics.…”
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    Final Year Project (FYP)
  7. 1767

    4D printing of heat-driven self-assembly structures (Part II) by Teo, Jin Howe

    Published 2015
    “…In 4D printing, besides the regular three dimensions, the fourth dimension is time-dependent shape change of the printed product. …”
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    Final Year Project (FYP)
  8. 1768

    Development of a low power motion tracking wireless node for IoT applications by Christina, Grace

    Published 2017
    “…These tracking nodes then regularly send sensors’ movement data to a central device, which in this case is a Raspberry Pi for further processing. …”
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    Final Year Project (FYP)
  9. 1769

    Machine learning based feature extraction from EEG signals for brain-computer interface by Cai, AoChen

    Published 2018
    “…In this project, a novel feature weighting and regularization (FWR) method which uses all CSP features and its variants is applied with CSP to prevent BCI performance degradation. …”
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    Final Year Project (FYP)
  10. 1770

    Evaluation of rumor source estimation algorithms by Xie, BinBin

    Published 2018
    “…We operated the algorithm on factor graph under SIR model and tested it on both random regular graphs (RRG) and Erdős Rényi (ER) Graph on synthetic datasets. …”
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    Final Year Project (FYP)
  11. 1771

    Friendship and publishing in Geoffrey Brito’s Sol meldunensis: a collaborative gift book from Cirencester Abbey for Geoffrey, abbot of Malmesbury, 1246–60 by Dunning, ANJ

    Published 2025
    “…The regular canons of Cirencester Abbey and the monks of Malmesbury Abbey formed a literary exchange in the 1130s with Robert of Cricklade and William of Malmesbury. …”
    Journal article
  12. 1772

    Generalized RBF feature maps for efficient detection by Vempati, S, Vedaldi, A, Zisserman, A, Jawahar, CV

    Published 2010
    “…Furthermore, we investigate a learning method using l1 regularization to encourage sparsity in the final vector representation, and thus reduce its dimension. …”
    Conference item
  13. 1773

    Super-resolution enhancement of text image sequences by Capel, D, Zisserman, A

    Published 2002
    “…We then propose two estimators suitable for the enhancement of text images: a maximum a posteriori (MAP) estimator based on a Huber prior and an estimator regularized using the total variation norm. We demonstrate the improved noise robustness of these approaches over the Irani and Peleg estimator. …”
    Conference item
  14. 1774

    Tissue-specific modulation of CRISPR activity by miRNA-sensing guide RNAs by Garcia-Guerra, A, Sathyaprakash, C, de Jong, O, Lim, W, Vader, P, El Andaloussi, S, Bath, J, Reine, J, Aoki, Y, Turberfield, A, Wood, MA, Rinaldi, C

    Published 2025
    “…Here, we present CRISPR MiRAGE (miRNA-activated genome editing), a tool comprising a dynamic single-guide RNA that senses miRNA complexed with Argonaute proteins and controls downstream CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) activity based on the detected miRNA signature. …”
    Journal article
  15. 1775

    Finite element methods for multicomponent convection-diffusion by Aznaran, FRA, Farrell, PE, Monroe, CW, Van-Brunt, AJ

    Published 2024
    “…Developing a variational formulation for discretizing these equations is challenging: the formulation must balance physical relevance of the variables and boundary data, regularity assumptions, tractability of the analysis, enforcement of thermodynamic constraints, ease of discretization and extensibility to the transient, anisothermal and nonideal settings. …”
    Journal article
  16. 1776

    Learning to count objects in images by Lempitsky, V, Zisserman, A

    Published 2011
    “…Learning to infer such density can be formulated as a minimization of a regularized risk quadratic cost function. We introduce a new loss function, which is well-suited for such learning, and at the same time can be computed efficiently via a maximum subarray algorithm. …”
    Conference item
  17. 1777

    Control co-design of a large offshore wind farm considering the effect of wind extractability by Pahus, ML, Nishino, T, Kirby, A, Vogel, CR

    Published 2024
    “…We also introduce a 'gridded' turbine layout optimisation into the CCD, which allows us to quickly find optimal angles of the primary axes of a regular turbine array to maximise the annual energy production (AEP) of a given number of turbines at a given offshore farm site. …”
    Conference item
  18. 1778

    Malaysian teachers’ perceptions towards Emergency Remote Teaching (ERT): an analysis based on school level and subjects taught by Loo, Daron Benjamin

    Published 2024
    “…Based on these fi ndings, it can be concluded that while there is a perception that ERT is diff erent from regular online teaching, there remains challenges in the implementation of online classes. …”
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    Article
  19. 1779

    Modelling familiarity : towards age-friendly exergame design by Zhang, Hao

    Published 2020
    “…Older adults are suggested to take regular exercises to prevent themselves from serious health problems and complications. …”
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    Thesis-Doctor of Philosophy
  20. 1780

    Calophyllum inophyllum (Punnai Seed Oil) derived biofuel blends: Thermal performance and engine emissions by Kasinathan, Narendranathan Srinivasan, Suyamburajan, Vijayananth, Veerasundaram, Jayaseelan, Sudhakar, Kumarasamy

    Published 2024
    “…As the percentage of blends increases, the heat-release rate decreases compared to regular diesel. The emission parameters CO, unburned HC, and smoke increase with increasing blend ratio, whereas NOx emission parameters decrease. …”
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    Article