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  1. 341

    Does knowledge make a difference? Understanding how the lay public and experts assess the credibility of information on novel foods by Ou, Mengxue, Ho, Shirley S.

    Published 2024
    “…However, they differ in the barriers they encounter during the assessment of information credibility. Both groups employ analytical (e.g. evaluating content quality) and intuitive methods (e.g. looking at source credibility) to assess the credibility of novel food-related information. …”
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    Journal Article
  2. 342

    A reconfigurable in-memory-computation architecture with in-situ update and shift capability by Liu, Yihe, Wang, Junjie, Liu, Shuang, Zhang, Xiaoyang, Sun, Mingyuan, Chen, Tupei, Liu, Yang

    Published 2024
    “…Compared with some existing related works which employ 2n bit cells for storing an n-bit value, the proposed structure in this work exhibits a O(n) complexity of area overhead, which means that only n bit cells are needed to store n-bit values, offering a significant improvement in silicon area usage. …”
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    Journal Article
  3. 343

    Area-time efficient streaming architecture for FAST and BRIEF detector by Lam, Siew-Kei, Jiang, Guiyuan, Wu, Meiqing, Cao, Bin

    Published 2020
    “…To reduce the complexity of the BRIEF descriptor, we employ an optimized adder tree to perform summation by accumulation on streaming pixels for the smoothing operation. …”
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    Journal Article
  4. 344

    Scalable combustion synthesis of graphene-welded activated carbon for high-performance supercapacitors by Li, Chen, Zhang, Xiong, Lv, Zhisheng, Wang, Kai, Sun, Xianzhong, Chen, Xiaodong, Ma, Yanwei

    Published 2022
    “…State-of-the-art supercapacitors mainly employ various activated carbons as active electrode materials; however, few of them can simultaneously exhibit superior electrical conductivity and tailored porosity to offer both high energy and power performance. …”
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    Journal Article
  5. 345

    Strategies of rendering difficult syntactic structures in English-Arabic simultaneous interpreting by Abdulameer, Muhannad Hadi Abdulameer

    Published 2022
    “…The present study is a corpus-based study which examines how simultaneous interpreters employ certain interpreting strategies rather than others when rendering noun phrases and numbers in English-Arabic simultaneous interpreting. …”
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    Thesis
  6. 346

    Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes by Kevlishvili, Ilia, St. Michel, Roland G, Garrison, Aaron G, Toney, Jacob W, Adamji, Husain, Jia, Haojun, Román-Leshkov, Yuriy, Kulik, Heather J

    Published 2024
    “…The breadth of transition metal chemical space covered by databases such as the Cambridge Structural Database and the derived computational database tmQM is not conducive to application-specific modeling and the development of structure–property relationships. Here, we employ both supervised and unsupervised natural language processing (NLP) techniques to link experimentally synthesized compounds in the tmQM database to their respective applications. …”
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    Article
  7. 347

    Robust partial-to-partial point cloud registration in a full range by Pan, Liang, Cai, Zhongang, Liu, Ziwei

    Published 2024
    “…To encode robust point descriptors, we employ a novel Transformation-robust Point Transformer (TPT) module to adaptively aggregate local features with respect to the structural relations, taking advantage of both handcrafted rotation-invariant (RI) features and noise-resilient spatial coordinates. …”
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    Journal Article
  8. 348

    Impact of E-learning activities on English as a second language proficiency among engineering cohorts of Malaysian higher education: a 7-month longitudinal study by Buragohain. Dipima, Punpeng, Grisana, Jaratjarungkiat, Sureenate, Chaudhary, Sushank

    Published 2023
    “…Recent technology implementation in learning has inspired language educators to employ various e-learning techniques, strategies, and applications in their pedagogical practices while aiming at improving specific learning efficiencies of students. …”
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    Journal Article
  9. 349

    A first study of compressive sensing for side-channel leakage sampling by Ou, Changhai, Zhou, Chengju, Lam, Siew-Kei

    Published 2020
    “…Instead it depends on the sparsity of the leakage signal. As such, CS can employ a much lower sampling rate and yet obtain equivalent leakage sampling performance, which significantly lowers the requirement of sampling equipments. …”
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    Journal Article
  10. 350

    Quantifying concentration distributions in redox flow batteries with neutron radiography by Jacquemond, Rémy Richard, van der Heijden, Maxime, Boz, Emre Burak, Carreón Ruiz, Eric Ricardo, Greco, Katharine Virginia, Kowalski, Jeffrey Adam, Muñoz Perales, Vanesa, Brushett, Fikile Richard, Nijmeijer, Kitty, Boillat, Pierre, Forner-Cuenca, Antoni

    Published 2024
    “…To resolve the concentration profiles across the electrodes, we employ an in-plane imaging configuration and correlate the concentration profiles to cell performance with polarization experiments under different operating conditions. …”
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    Article
  11. 351

    Reconfigurable intelligent surface-assisted aerial-terrestrial communications via multi-task learning by Cao, Xuelin, Yang, Bo, Huang, Chongwen, Yuen, Chau, Renzo, Marco Di, Niyato, Dusit, Han, Zhu

    Published 2022
    “…On this basis, we formulate an RIS-assisted transmission strategy optimization problem as a mixed-integer non-linear program (MINLP) to maximize the overall system throughput. We then employ multi-task learning to speed up the solution to the problem. …”
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    Journal Article
  12. 352
  13. 353

    Tilted biorthogonal ensembles, Grothendieck random partitions, and determinantal tests by Gavrilova, Svetlana, Petrov, Leonid

    Published 2024
    “…This question is related to the principal minor assignment problem in algebraic geometry, and we employ a determinantal test first obtained by Nanson in 1897 for the 4×4 problem. …”
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    Article
  14. 354

    Decoding Dark Matter Halos through the Lens of Machine Learning by Nguyen, Tri V.

    Published 2024
    “…In this thesis, I conduct a multi-scale investigation into the nature of DM and its role in shaping galaxies by integrating advanced machine-learning techniques with cutting-edge cosmological simulations. First, I employ simulation-based inference and graph neural networks to infer the mass density profiles of DM halos in dwarf galaxies from their stellar kinematics. …”
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    Thesis
  15. 355
  16. 356

    Unconditionally stable fundamental LOD-FDTD method with second-order temporal accuracy and complying divergence by Gan, Theng Huat, Tan, Eng Leong

    Published 2013
    “…The update procedures for a family of LOD-FDTD methods that employ similar splitting matrix operators are presented. …”
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    Journal Article
  17. 357

    Play beyond the screen : nurturing a healthier child with lesser screen time by Woo, Annabelle Xue Qi, Pam, Cheryl Bei Yee, Chew, Wen Yie, Lim, Amelia Xiu Min

    Published 2020
    “…This paper presents ​Play Beyond The Screen, a pioneering health communications campaign aimed to encourage parents with children aged 1-5 to actively mediate their children’s screen time usage and employ alternative measures to educate and entertain them. …”
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    Final Year Project (FYP)
  18. 358

    Evaluating the merits of ranking in structured network pruning by Sharma, Kuldeep, Ramakrishnan, Nirmala, Prakash, Alok, Lam, Siew-Kei, Srikanthan, Thambipillai

    Published 2021
    “…Majority of existing techniques employ criteria-based sorting of the channels to preserve salient channels during pruning as well as to automatically determine the pruned network architecture. …”
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    Conference Paper
  19. 359

    Droplet impingement on a heated surface by Chia, Patrick Chee Leong

    Published 2021
    “…To study the impingement behaviour on a heated surface we employ the help of a high speed camera to capture the side profile of the impingement process. …”
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    Final Year Project (FYP)
  20. 360

    Vehicle re-identification using machine learning by Tang, Lisha

    Published 2022
    “…Finally, we address this Re-ID issue as a multi-task problem and employ Homoscedastic Uncertainty Learning to automatically balance the loss weightings. …”
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    Thesis-Master by Research