The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Efficient Channel Attention (ECA) module. by Changyu Jin (5746523)

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Efficient channel attention network module. by Xiao Wang (19312)

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Cross-attention module network structure. by Chong Zhang (418677)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Feature attention module. by Ning Zhang (23771)

“…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. This attention layer assigns weights to the features, facilitating accurate final classification. …”

Feature attention module. by Ning Zhang (23771)

“…The fused features, combined with those processed by the convolutional module, are fed into an attention layer. This attention layer assigns weights to the features, facilitating accurate final classification. …”

Sensitivity analyses of seroprevalence with the largest sample size study omitted. by Yu Zhou (89766)

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WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Spatial attention module. by Mahmood Ashraf (18340154)

Proportions of intervals where cytokines change varies between cytokines. by Jordan K. Abbott (8934239)

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Architecture of the proposed cosine nonlocal attention module. by Yixing Zhang (9658704)

Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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The schematic diagram of SE attention module. by Fulong Liu (22614787)

Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

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Self-attention module for the features learning. by Yasir Khan Jadoon (21433231)

“…After that, the second module is designed based on the self-attention mechanism. …”

The residual connectivity operation and attention module. by Jingzhen He (14200991)

Performance of models with the varying position of the attention module. by Changyu Jin (5746523)

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Ablation experiment for attention mechanism modules. by Xinli Yang (4281007)

FFCA attention module structure. by Ze Wei (556526)

“…For feature fusion, we propose the FFCA attention module, designed to handle PCB surface defect characteristics by fusing multi-scale local features. …”