Showing 101 - 120 results of 13,183 for search '"attention"', query time: 0.08s Refine Results
  1. 101

    Instrument for the evaluation of education at work in the Comprehensive Attention to the Population subject by Ana Gloria Vázquez De León, Alfredo Alberto Espinosa Roca, Lisgrace Llano Arana, Yoel González Beriau, Annia Lourdes González Armenteros, Dailys García Morales

    Published 2021-10-01
    “…<br /><strong>Objective:</strong> to propose an instrument to evaluate the students` learning in the education at work of the Comprehensive Attention to the Population subject, that is taught in the fifth year of the Stomatology career.…”
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    Article
  2. 102
  3. 103

    Event-Related Potentials Related to Anxiety in Emotion-Attention Interaction by Ssanghee Seo, Bonghyun Kim

    Published 2014-01-01
    “…The result of this study can help our understanding of the neurological responses related to anxiety during attentional control.…”
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  4. 104

    Speech Separation Using Convolutional Neural Network and Attention Mechanism by Chun-Miao Yuan, Xue-Mei Sun, Hu Zhao

    Published 2020-01-01
    “…By analyzing the characteristics of the convolutional neural network and attention mechanism, it can be found that the convolutional neural network can effectively extract low-dimensional features and mine the spatiotemporal structure information in the speech signals, and the attention mechanism can reduce the loss of sequence information. …”
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  5. 105

    Attention Based Energy Demand Forecasting in Smart Grid Environments by Yunus Emre Işıkdemir, Fuat Akal

    Published 2024-10-01
    “…In this paper, we propose an attention-based time series workflow that combines dilated convolution and attention mechanisms for time series forecasting in smart grid applications. …”
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    Article
  6. 106

    A Systematic Review on Serious Games in Attention Rehabilitation and Their Effects by Leila Shahmoradi, Fatemeh Mohammadian, Meysam Rahmani Katigari

    Published 2022-01-01
    “…A total of 73 outcome measures were related to attention, 42 measures did not have significant results, 30 were significantly improved, 1 was significantly deteriorated, and 4 articles did not have any specific measures for attention evaluation. …”
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  7. 107

    Research on link prediction model based on hierarchical attention mechanism by Xiaojuan ZHAO, Yan JIA, Aiping LI, Kai CHEN

    Published 2021-03-01
    Subjects: “…hierarchical attention mechanism…”
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  8. 108
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  10. 110

    Solar Wind Speed Prediction With Two‐Dimensional Attention Mechanism by Yanru Sun, Zongxia Xie, Yanhong Chen, Xin Huang, Qinghua Hu

    Published 2021-07-01
    “…Specifically, we propose a model based on the “two‐dimensional attention mechanism” (TDAM) to predict solar wind speed. …”
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    Article
  11. 111
  12. 112

    Weibo Attention and Stock Market Performance: Some Empirical Evidence by Minghua Dong, Xiong Xiong, Xiao Li, Dehua Shen

    Published 2018-01-01
    “…In this paper, we employ Weibo Index as the proxy for investor attention and analyze the relationships between investor attention and stock market performance, i.e., trading volume, return, and volatility. …”
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  13. 113
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  15. 115

    Image Super-Resolution Reconstruction Based on the Lightweight Hybrid Attention Network by Chu Yuezhong, Wang Kang, Zhang Xuefeng, Liu Heng

    Published 2024-01-01
    “…LHAB combines multiscale self-attention and large-core attention. In order to make the network lightweight, multiscale self-attention block (MSSAB) improves the self-attention mechanism and uses windows of different sizes for group calculations. …”
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  16. 116
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  18. 118

    Two different mechanisms support selective attention at different phases of training. by Sirawaj Itthipuripat, Kexin Cha, Anna Byers, John T Serences

    Published 2017-06-01
    “…Studies in human subjects demonstrate that attentional gain of cortical responses can sufficiently account for attention-related improvements in behavior. …”
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  19. 119
  20. 120

    Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification by Xi-An Li, Li-Yan Wang, Jian Lu

    Published 2021-01-01
    “…Then, a multiscale receptive fields graph attention network (named after MRFGAT) by means of semantic features of local patch for point cloud is proposed in this paper, and the learned feature map for our network can well capture the abundant features information of point cloud. …”
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