Showing 61 - 80 results of 225 for search '(( (apa OR apply) named ) OR ( (papa OR (para OR park)) named ))', query time: 0.20s Refine Results
  1. 61

    Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks by He, Xiaoming, Mao, Yingchi, Liu, Yinqiu, Ping, Ping, Hong, Yan, Hu, Han

    Published 2024
    “…The experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.…”
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    Journal Article
  2. 62

    Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles by Tang, Wenbing, Zhou, Yuan, Zhang, Tianwei, Liu, Yang, Liu, Jing, Ding, Zuohua

    Published 2023
    “…Hence, to guarantee real-time collision avoidance and deal with linguistic requirements, a distributed and hybrid motion planning method, named Fuzzy-VO, is proposed for multirobot systems. …”
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    Journal Article
  3. 63

    OS-FCM: a semi-supervised clustering approach to investigating consumers' usage patterns of contactless shopping-delivery (S-D) channel by Chen, Tianyi, Wong, Yiik Diew, Yuen, Kum Fai, Li, Duowei, Wang, Xueqin

    Published 2024
    “…The dataset with the usage patterns is used to train Random Forest, upon which Shapley Additive exPlanations (SHAP) approach is applied to measure the contributions of each factor. …”
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    Journal Article
  4. 64

    Structured sparse representations for supervised and unsupervised learning by Zeng, Yijie

    Published 2020
    “…This thesis focuses on a specific data representation technique named sparse coding (SC) which has been found effective for natural signals such as images. …”
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    Thesis-Doctor of Philosophy
  5. 65

    Graph representation learning by Zhang, Xinyi

    Published 2022
    “…Besides the shared node representations which is proposed from mSHINE, eHIN also applies the convolution-based module and the non-sampling optimization technique to improve the learning efficiency further. …”
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    Thesis-Doctor of Philosophy
  6. 66

    Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks by Zhang, Zhengyan, Xiao, Guangxuan, Li, Yongwei, Lv, Tian, Qi, Fanchao, Liu, Zhiyuan, Wang, Yasheng, Jiang, Xin, Sun, Maosong

    Published 2024
    “…Our findings sound a red alarm for the wide use of pre-trained models. Finally, we apply several defense methods to NeuBA and find that model pruning is a promising technique to resist NeuBA by omitting backdoored neurons.…”
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    Article
  7. 67
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  10. 70

    Expert system for real time optimization of solid waste management in Malaysia by Abu Samah, Mohd Armi

    Published 2014
    “…Moreover, this system could be applied by a particular user in determining preliminary module for recycling process and could controlled and optimized the amount of generated waste composition that were usually sent to the landfills or other waste treatment facilities. …”
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    Thesis
  11. 71

    Further studies of extreme learning machine and compressed signal detection by Cao, Jiuwen

    Published 2013
    “…To further enhance the classification rate of the ELM, we propose an improved algorithm named voting based ELM (V-ELM) for signal classification in Chapter 4. …”
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    Thesis
  12. 72

    PARP1 resolves DNA replication defects in PCNA-associated DNA repair disorder by Wang, L

    Published 2019
    “…In 2014, the Crosby and Green laboratories reported a novel DNA repair disorder with clinical features including short stature, hearing loss, premature aging, telangiectasia, neurodegeneration, and photosensitivity, which results from a homozygous missense (p.Ser228Ile) alteration of PCNA so it is named PCNA-associated DNA repair disorder (PARD). …”
    Thesis
  13. 73

    Recovery of Herschel-Bulkley Fluid Parameters from Video via Differentiable Simulations by Eastman, John M.

    Published 2024
    “…Our approach aims to accurately recover physical parameters and achieve high-fidelity 3D reconstructions from single-view videos of fluids, even those with complex rheological behaviors like shear thinning and thickening. In this study, we apply our method to a Herschel-Bulkley fluid, namely ketchup, under two different real-world conditions: a 50mm column collapse and being squeezed from a bottle. …”
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    Thesis
  14. 74

    Laplace transforms, non-analytic growth bounds and $C_{0}$-semigroups by Srivastava, S

    Published 2002
    “…We study the properties of $\zeta(f)$ as well as two associated abscissas, namely the non-analytic abscissa of convergence, $\zeta_{1}(f)$ and the non-analytic abscissa of absolute convergence $\kappa(f)$. …”
    Thesis
  15. 75
  16. 76

    Electric-field control of magnetism in multiferroic composites by Ding, Hui

    Published 2015
    “…Multiferroic materials have at least two of the ferroic properties, namely ferroelectricity, ferro (anitferro) magnetism and ferroelasticity.The term usually refers to materials that possess both ferroelectric and magnetic orders. …”
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    Thesis
  17. 77
  18. 78

    Engineering memristor : control over the fourth fundamental element for memory application and beyond by Ge, Ning

    Published 2017
    “…This work will try to study the fundamental memristor devices including material impact, device characterization, physical modeling, and selector device choice, then apply its unique property to novel applications using various process methods. …”
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    Thesis
  19. 79

    Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data by Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola

    Published 2023
    “…Thus far, most machine learning methods applied to gene expression datasets, including deep neural networks, lack personalised interpretability. …”
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    Journal Article
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