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Showing 1 - 20 results of 56 for search '(( significant ((larger decrease) OR (largest decrease)) ) OR ( significant attention task ))', query time: 0.11s Refine Results
  1. 1

    The Effects of Visual Stimuli on Attention in Children With Autism Spectrum Disorder: An Eye-Tracking Study by Bilikis Banire (14158833)

    Published 2020
    “…This study thus recommends an investigation methodology for on-task attention assessment in a learning environment.…”
  2. 2

    Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

    Published 2020
    “…The problem is formulated as a binary classification task using deep learning methods. We explore several designs for the classifier based on convolutional neural networks (CNNs), long-short-term memory networks (LSTMs), and an attention layer. …”
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  3. 3

    Interrupting Dissociation of Players through Real-Time Digital Tasks during Online Gambling by Ceyda Kiyak (16810665)

    Published 2023
    “…The analysis revealed that there was a significant main effect of the interruptions in terms of response times, and a significant interaction between the interruptions and the digital tasks. …”
  4. 4

    Impact of mainstream classroom setting on attention of children with autism spectrum disorder: an eye-tracking study by Bilikis Banire (14158833)

    Published 2020
    “…We analyzed four eye-gaze behaviors and performance scores of 45 children: children with ASD (ASD n = 20) and typically developing children (TD n = 25) when performing attention tasks. The gaze behaviors included time to first fixate (TTFF), first fixation duration (FFD), average fixation duration (AFD) and the sum of fixation count (SFC) on fourteen areas of interest (AOIs) in the classroom. …”
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    Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure by M. Nithya Mylakumar (22155802)

    Published 2024
    “…However, there was no significant difference between Tasks 2 (performing tasks in silence) and 3 (performing tasks with music) in omission or commission errors among the Kaapi group. …”
  7. 7

    Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

    Published 2024
    “…Yet, modeling the non-stationarity in EHR data has received less attention. Most existing studies follow a strong assumption of stationarity in patient representation from EHRs. …”
  8. 8

    MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

    Published 2023
    “…Furthermore, an ablation study is conducted to analyze the contributions of the discriminator and attention blocks within the MACGAN architecture. The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”
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  10. 10

    Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

    Published 2024
    “…This significant shift enhances the model's ability to capture long-range dependencies within time series data. …”
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  12. 12

    Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

    Published 2018
    “…Solar energy has the largest untapped reserve in energy and is one of the fastest emerging energy markets. …”
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  13. 13

    Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

    Published 2007
    “…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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  14. 14

    β-2-himachalen-6-ol protects against skin cancer development in vitro and in vivo by Daaboul, Hamid E.

    Published 2017
    “…Also, there was a significant decrease in p-Erk and p-Akt protein levels. …”
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  15. 15

    Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

    Published 2017
    “…After controlling for other sources of emissions, U.S. states that produce a larger share of renewable energy are found to have lower GHG emissions. …”
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  16. 16

    On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

    Published 2023
    “…<p dir="ltr">The video classification task has gained significant success in the recent years. …”
  17. 17

    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

    Published 2024
    “…Recently, several complex architectures, such as vision Transformers and attention-based convolutional neural networks (CNNs), have been introduced for this task. …”
  18. 18

    Effects of habitat complexity on the abundance, species richness and size of darkling beetles (Tenebrionidae) in artificial vegetation by Bartholomew, Aaron

    Published 2016
    “…Increasing complexity appeared to lead to decreasing beetle widths. 9 beetle species were relatively rare in, or absent from, the higher complexity treatments, including 5 of the 6 largest species. 2 rare, small beetle species were only found in higher complexity treatments. …”
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  19. 19

    Adaptive Effects of Seeing Green Environment on Psychophysiological Parameters When Walking or Running by Walid Briki (688845)

    Published 2019
    “…Study 1 revealed that walking in a green environment induced a significant reduction in heart rate values as compared to the red and white conditions although no differences in gait speed were found. …”
  20. 20

    Stemming cardiovascular diseases in Qatar by Nature Research (16552612)

    Published 2015
    “…“Both Qatari nationals and expatriates should adopt healthier lifestyles to reduce the prevalence of these risk factors,” says Christos. Diabetes was the largest preventable risk factor to decrease heart attacks and strokes.…”