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  1. 381

    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…In this thesis, we address the problem of refining learning models in grammatical inference. For regular language learning, we introduce formally the notion of “Classification Automaton” that reduces model size by identifying one automaton for multiple string classes. …”
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    Thesis
  2. 382

    Bayesian neural network language modeling for speech recognition by Xue, Boyang, Hu, Shoukang, Xu, Junhao, Geng, Mengzhe, Liu, Xunying, Meng, Helen

    Published 2023
    “…Consistent performance improvements over the baseline LSTM-RNN and Transformer LMs with point estimated model parameters and drop-out regularization were obtained across both tasks in terms of perplexity and word error rate (WER). …”
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    Journal Article
  3. 383
  4. 384

    Harmonic fields based surface and volume mapping by Xia, Jiazhi

    Published 2011
    “…In the first part of the thesis, we present an editable polycube map framework in Chapter 4, that, given an arbitrary high-resolution polygonal mesh and a simple polycube representation plus optional sketched features indicating relevant correspondences between the two, provides a uniform, regular and artist-controllable quads-only mesh with a parameterized subdivision displacement scheme. …”
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    Thesis
  5. 385

    Design of slender concrete column using chinese design code GB50010-2010 by Chen, Qiaofen

    Published 2014
    “…With the more and more popular use of slender concrete columns, it is strongly recommended that more researches and experiments shall be carried out so as to better study the behaviors and loading capacities of slender concrete columns under different conditions. Regular reviews and amendments of slender concrete column design in GB50010-2010 shall be made by professional bodies if necessary…”
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    Final Year Project (FYP)
  6. 386

    Preventing interreligious conflict : lessons from the ambivalence of the sacred and Singapore by Ho, Chee Feng

    Published 2019
    “…They are – (a) the dissemination of religiously authentic messages of peace, tolerance and pluralism to the community through the religious leadership to act as nullifying forces against violence, (b) the institutionalization of regular interfaith dialogues bringing together diverse groups of religious believers to discuss common values across their religions to build the norm that all of us are bound by a common thread of humanity despite religious differences, (c) the enactment of legislation to maintain religious harmony coupled with strong enforcement actions against detractors and the development of a national identity that trumps religious differences, and (d) ensuring social and economic equity for everyone in the community to prevent would-be perpetrators from capitalizing on such grievances to fuel interreligious conflicts. …”
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    Thesis
  7. 387
  8. 388

    The future of nuclear power in India: a question of liability law by Sengupta, A

    Published 2015
    “…Two specific provisions are particularly contentious:</p> <ul> <li>Section 17(b) which holds suppliers liable for recourse when a nuclear incident results from either a patent or a latent defect in the equipment or material supplied, or as a result of the supply of substandard services; and</li> <li>Section 46 which arguably allows suppliers to remain liable under regular provisions of tort law and other general legislation despite having fulfilled their liabilities under this Act.…”
    Journal article
  9. 389

    Development of CRISPR gene therapy for retinal degenerations by Fry, LE

    Published 2021
    “…The engineering of the clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated (Cas) nuclease system has enabled facile gene editing of human cells. …”
    Thesis
  10. 390

    Ultra-thin oxide films by Hu, X

    Published 2016
    “…Special attention has been paid to the uniform (2 × 2) Ti<sub>2</sub>O<sub>3</sub> HC phase including its regular structure and imperfections such as domain boundaries (DBs) and point defects. …”
    Thesis
  11. 391
  12. 392
  13. 393
  14. 394

    Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling by Ma, Shuzhen, Geok Soh, Kim, Japar, Salimah, Xu, Simao, Zhicheng, Guo

    Published 2024
    “…Incorporating core strength training into regular regimens can improve athletes' overall strength, endurance, balance, control, and prevent injuries. …”
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    Article
  15. 395

    Risk analysis of sulfur dioxide (SO2) exposure to public health around Kolaka district nickel processing plant by Azis, Sheril Dribisce, Azizah, R., Jalaludin, Juliana

    Published 2024
    “…Nickel processing plant companies and local governments should conduct regular monitoring and control emissions from mining activities, including SO2.…”
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    Article
  16. 396
  17. 397

    Association between extreme heat exposure and acute physiological change among steel mill workers in Terengganu, Malaysia by Che Hasan, Nurul Atikah

    Published 2015
    “…All of the work stations monitored had temperatures regularly exceeded the Threshold Limit Values (TLV) of heat stress recommended by ACGIH. …”
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    Thesis
  18. 398

    涂涂写写 = Alchemy of color and brushwork by Ng, Woon Lam

    Published 2020
    “…The familiar figurative elements and activities, the vibrancy and freshness of colors, and the culturally mixed architectural elements make up some of my regular subject matters. The harsh weather condition and my emotional connection with this motherland steers me towards a chromatic color palette. …”
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    Book
  19. 399

    Investigation of remelting effects on controlling microstructure morphology in powder bed fusion by Wong, Wendell Shun Yin

    Published 2022
    “…Remelting has a positive effect on density due to decreased defect occurrence across the layers for regular ED specimens and better fusion. Density is improved from 7.876 ± 0.06 g/m3 to 7.910 ± 0.03 g/m3. …”
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    Thesis-Master by Research
  20. 400

    Theory-guided machine learning to predict configurational energies of high distortion alloy systems by Huang, Xufa

    Published 2023
    “…Using recursive feature elimination, optimized based on stable weight assignment of ridge regularization, we sieved out only important descriptors in a high dimensional framework where configurational energy labels vastly exceed the number of descriptors. …”
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    Final Year Project (FYP)