Search Results - "Advances in Parallel and Distributed Computing for Neural Computing"

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    QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment by Tong, Zhao, Deng, Xiaomei, Chen, Hongjian, Mei, Jing, Liu, Hong

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Cloud computing is a computing model that fully utilizes the resources on the Internet to maximize the utilization of resources. Due to a large number of users…”
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    Journal Article
  3. 3

    Multi-task cascade deep convolutional neural networks for large-scale commodity recognition by Zou, Xiaofeng, Zhou, Liqian, Li, Kenli, Ouyang, Aijia, Chen, Cen

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…In recent years, deep convolutional neural network have achieved remarkable performance in object detection and image classification. However, there are still…”
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    Journal Article
  4. 4

    Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate by Cheng, Keyang, Tao, Fei, Zhan, Yongzhao, Li, Maozhen, Li, Kenli

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Convolutional neural networks (CNNs) have obtained high accuracy results for pedestrian re-identification in the past few years. There is always a trade-off…”
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  5. 5

    A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints by Hu, Yikun, Li, Jinghong, He, Ligang

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…As the scale increases and performance improves, the energy consumption of high-performance computer systems is rapidly increasing. The energy-aware task…”
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  6. 6

    Fingerprint pattern identification and classification approach based on convolutional neural networks by Wu, Fan, Zhu, Juelin, Guo, Xiaomeng

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Fingerprint pattern recognition and classification can be of assistance in the research on human personality. In some previous studies, fingerprints were…”
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  7. 7

    Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight by Chen, Yuedan, Xiao, Guoqing, Yang, Wangdong

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…General sparse matrix-sparse matrix (SpGEMM) multiplication is one of the basic kernels in a great many applications. Several works focus on various…”
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  8. 8

    Multifractal detrended fluctuation analysis parallel optimization strategy based on openMP for image processing by Tang, Xiaoyong, Yang, Xiaopan, Wu, Fan

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…In the past few years, multifractal detrended fluctuation analysis (MF-DFA) method has been widely applied in the field of agricultural image processing…”
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  9. 9

    Parallel multi-view concept clustering in distributed computing by Wang, Hao, Yang, Yan, Zhang, Xiaobo, Peng, Bo

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Multi-view clustering (MvC) is an emerging task in data mining. It aims at partitioning the data sampled from multiple views. Although a great deal of research…”
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  10. 10

    Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization by Liu, Ao, Li, Peng, Sun, Weiliang, Deng, Xudong, Li, Weigang, Zhao, Yuntao, Liu, Bo

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Searching optimal parameters for neural networks can be formulated as a multi-modal optimization problem. This paper proposes a novel water wave optimization…”
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    Journal Article
  11. 11

    Research on an olfactory neural system model and its applications based on deep learning by Zhang, Jin, Tian, Tiantian, Wang, Shengchun, Liu, Xiaofei, Shu, Xuanyu, Wang, Ying

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…The idea of constructing the biological neural system model as realistic as possible can not only provide a new artificial neural network (ANN), but also offer…”
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    Journal Article
  12. 12

    Trust-based security routing mechanism in mobile social networks by Yang, Shuang, Wang, Xingwei, Zhang, Shuang, Yi, Bo, Huang, Min

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Malicious and selfish behaviors represent a serious security threat against routing in mobile social networks (MSN). Due to MSN’s unique network…”
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    Journal Article
  13. 13

    A monetary policy prediction model based on deep learning by Lu, Minrong

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…Applying neural network and error t-value test, this study trains and analyzes 28 interest rate changes of China’s macro-monetary policy and the mutual…”
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  14. 14

    An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs by Kitrungrotsakul, Titinunt, Han, Xian-Hua, Iwamoto, Yutaro, Takemoto, Satoko, Yokota, Hideo, Ipponjima, Sari, Nemoto, Tomomi, Xiong, Wei, Chen, Yen-Wei

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…The detection and observation of mitotic event are the key to studying the behavior of the cell and used to examine various diseases. The existing cell…”
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  15. 15

    Workload-driven coordination between virtual machine allocation and task scheduling by Xiao, Zheng, Wang, Bangyong, Li, Xing, Du, Jiayi

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.05.2020
    Published in Neural computing & applications (01.05.2020)
    “…The current task scheduling is separated from the virtual machine (VM) allocation, which, to some extent, wastes resources or degrades application performance…”
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    Journal Article