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  1. 10461

    Artificial Intelligence and Machine Learning for COVID-19 / by Al-Turjman, Fadi, editor 622956

    Published [202
    “…The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. …”
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  2. 10462

    Extended truncated-differential distinguishers on round-reduced AES by Bao, Zhenzhen, Guo, Jian, List, Eik

    Published 2020
    “…The present work illustrates how the well-known integral distinguisher on three-round AES resembles a sum of PRPs and can be extended to truncated-differential distinguishers over 4 and 5 rounds. In contrast to previous distinguishers by Grassi et al., our approach allows to prepend a round that starts from a diagonal subspace. …”
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    Journal Article
  3. 10463
  4. 10464

    Stretchable fiber-shaped aqueous aluminum ion batteries by Xiong, Ting, He, Bing, Zhou, Tianzhu, Wang, Zhe, Wang, Zhixun, Xin, Jiwu, Zhang, Haozhe, Zhou, Xuhui, Liu, Yanting, Wei, Lei

    Published 2022
    “…Moreover, by employing a rocking-chair energy storage mechanism, the fiber-shaped battery offers a high specific capacity of 42 mAh cm−3 at 0.5 A cm−3, corresponding to a high specific energy of 30.6 mWh cm−3. …”
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    Journal Article
  5. 10465

    A novel quasi-cubic CuFe2O4–Fe2O3 catalyst prepared at low temperature for enhanced oxidation of bisphenol A via peroxymonosulfate activation by Oh, Wen-Da, Dong, Zhili, Hu, Zhong-Ting, Lim, Teik-Thye

    Published 2016
    “…The trend of ki revealed that increasing the catalyst loading decreased the BPA removal rate due to the initial preferential production of the weaker radical (i.e. SO5˙−) for BPA degradation and Fe2+ quenching of SO4˙− at higher catalyst loading. …”
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    Journal Article
  6. 10466

    Cognitive dynamic airspace management by Wong, Cheryl Sze Yin

    Published 2019
    “…Multi-objective EAs are fundamentally stochastic in nature, hence solutions are likely to be irreproducible. For reproducible and reliable solutions, deterministic algorithms are preferable. …”
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    Thesis
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  20. 10480

    Studies on GaN based HEMT heterostructures on 100-mm silicon grown by molecular beam epitaxy by Ravikiran Lingaparthi

    Published 2015
    “…Room temperature Hall measurement showed a carrier concentration of 7.3 × 1012 cm-2 and mobility of 140 cm2/V.s. However, post growth annealing of InAlN/AlN/GaN HEMT heterostructures showed a room temperature carrier concentration of 1.85 × 1013 cm-2 and mobility of 512 cm2/V.s. …”
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    Thesis