Showing 321 - 340 results of 9,539 for search '"attention"', query time: 0.10s Refine Results
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    A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

    Published 2024-12-01
    “…Thus, LSTM is integrated with the new attention mechanism to construct an LSTMATT model, which improves the performance. …”
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    Article
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    Altered Recruitment of the Attention Network Is Associated with Disability and Cognitive Impairment in Pediatric Patients with Acquired Brain Injury by Sandra Strazzer, Maria A. Rocca, Erika Molteni, Ermelinda De Meo, Monica Recla, Paola Valsasina, Filippo Arrigoni, Susanna Galbiati, Alessandra Bardoni, Massimo Filippi

    Published 2015-01-01
    “…Pediatric ABI patients experienced an inability to optimize attention network recruitment, especially when task difficulty was increased, which likely contributes to their clinical and cognitive deficits.…”
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  6. 326

    Theta Burst Stimulation Enhances Connectivity of the Dorsal Attention Network in Young Healthy Subjects: An Exploratory Study by Lubomira Anderkova, Dominik Pizem, Patricia Klobusiakova, Martin Gajdos, Eva Koritakova, Irena Rektorova

    Published 2018-01-01
    “…A single session of intermittent TBS of the left superior parietal lobule induced certain cognitive speed enhancement and significantly increased resting-state connectivity of the dorsal attention network. This is an exploratory study that prompts further research with multiple-session TBS in subjects with cognitive impairment.…”
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    The impact of psychological theory on the treatment of Attention Deficit Hyperactivity Disorder (ADHD) in adults: A scoping review. by Rebecca E Champ, Marios Adamou, Barry Tolchard

    Published 2021-01-01
    “…Psychological theory and interpretation of research are key elements influencing clinical treatment development and design in Attention Deficit Hyperactivity Disorder (ADHD). Research-based treatment recommendations primarily support Cognitive Behavioural Therapy (CBT), an extension of the cognitive behavioural theory, which promotes a deficit-focused characterisation of ADHD and prioritises symptom reduction and cognitive control of self-regulation as treatment outcomes. …”
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    Article
  9. 329

    Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen

    Published 2021-01-01
    “…Then, in order to take advantage of the time sequence information, the temporal feature for consecutive frames is encoded using gated recurrent unit (GRU). After that, the attention mechanism is integrated into the decoder to effectively establish the mappings between the input sequence and corresponding output sequence. …”
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    The Effect of auriculotherapy on sleep quality in children with attention deficit hyperactivity disorder: a randomized clinical trial by Laleh Mohammadi, Zahra Tagharrobi, Khadijeh Sharifi, Zahra Sooki, Mohammad Zare, Fatemeh Zare Joshaghani

    Published 2025-01-01
    “…Abstract Introduction Considering the importance of sleep disorders in children with attention-deficit/hyperactivity disorder (ADHD) and effective therapeutic strategies, the present study aimed to investigate the effects of auriculotherapy on sleep quality in children with ADHD. …”
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  12. 332

    Enhancing Handwritten Digit Recognition using Auxiliary Classifier Generative Adversarial Networks and Self-attention Mechanism by Hu Tingkai

    Published 2025-01-01
    “…This research study investigates the integration of the self-attention mechanism and the Auxiliary Classifier Generative Adversarial Networks (ACGAN)to improve handwritten digital recognition using the MNIST data set. …”
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    Article
  13. 333

    Economic Evaluation of a Novel Treatment of Attention-Deficit/Hyperactivity Disorder in US Motor Vehicle Drivers by Jacie T. Cooper, John E. Schneider, Jim Potenziano, David S. Fam

    Published 2024-09-01
    “…**Background:** Attention-deficit/hyperactivity disorder (ADHD) affects approximately 4.4% of US adults. …”
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  14. 334

    DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation by Zirui Shen, Wanjie Liu, Sheng Xu

    Published 2025-01-01
    “…In recent years, the development of visual transformer has gradually replaced convolutional neural networks in the visual domain with attention computation, causing pure transformer networks to become a trend. …”
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    Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT by Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood

    Published 2024-11-01
    “…We suggest an attention-based, stacked, two-layer CNN-Bi-LSTM DNN to overcome these glitches. …”
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    Impact of psychostimulants on microbiota and short-chain fatty acids alterations in children with attention-deficit/hyperactivity disorder by Nonglak Boonchooduang, Orawan Louthrenoo, Narueporn Likhitweerawong, Chanon Kunasol, Chanisa Thonusin, Sirawit Sriwichaiin, Wichwara Nawara, Nipon Chattipakorn, Siriporn C. Chattipakorn

    Published 2025-01-01
    “…Abstract Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental disorder in children, is associated with alterations in gut microbiota and short-chain fatty acids (SCFAs), which are metabolites influencing the gut-brain axis. …”
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    Alterations of attention and impulsivity in the rat following a transgenerational decrease in dietary omega-3 fatty acids by Joachim Hauser, Ewelina Stollberg, Andreas Reissmann, Ivo Kaunzinger, Klaus W. Lange

    Published 2018-03-01
    “…The present study investigated the effects of nutritional omega-3 PUFAs on attentional functions and impulsive behavior in Wistar rats. …”
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    Research on power plant security issues monitoring and fault detection using attention based LSTM model by Shengda Wang, Zeng Dou, Danni Liu, Han Xu, Ji Du

    Published 2025-01-01
    “…Methodology For the purpose of this investigation, an attention-based long short-term memory (Att-LSTM) model was used for the categorization of time series actual data. …”
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