Encoder decoder attention prediction. حسب Megha Roshan (18388293)

"…We examined the text-based models and compared their results which showed that the modified Encoder decoder model with attention mechanism trained on textual data achieved an accuracy of 93.5%. …"

The windows show the final results reflecting the increase or decrease in the GRF and JRF calculations. حسب Amany Eid Abd El-Tawab (13864185)

Comparison of the performance of the 10 CV (10 fold cross validation) model and the permutated model. حسب Sakuni Rankothgedera (11457923)

Contact force generated by applying temperature under different working conditions. حسب Liewang Qiu (18017814)

الموضوعات:

18 The maximum values of strong contact force and strong contact number for FRP confined CGC. حسب Qingwen Li (1510687)

Time attention features weighted. حسب Gengchen Xu (20477357)

"…However, traditional LSTM-based SOH estimation methods do not account for the fact that the degradation sequence of battery SOH exhibits trend-like nonlinearity and significant dynamic variations between samples. Therefore, this paper proposes an LSTM-based lithium-ion SOH estimation method incorporating data characteristics and spatio-temporal attention. …"

Spatial attention feature weighting. حسب Gengchen Xu (20477357)

"…However, traditional LSTM-based SOH estimation methods do not account for the fact that the degradation sequence of battery SOH exhibits trend-like nonlinearity and significant dynamic variations between samples. Therefore, this paper proposes an LSTM-based lithium-ion SOH estimation method incorporating data characteristics and spatio-temporal attention. …"

S2 Row Data - The impact of convergence insufficiency on selective visual attention among university students حسب Mohammed M. Alnawmasi (11156577)

Bacterial Lineage Cladograms with Significantly Different Representation in Infected and Uninfected Groups. حسب Xi-Meng Sun (17721428)

Optimization of the attention-based network architecture. حسب Hiroyuki Kurata (35718)

الموضوعات:

Architectures of different attention-based models. حسب Hiroyuki Kurata (35718)

الموضوعات:

Capillary density–decreased capillary density in HCM patients. حسب Louise L. A. M. Nijenkamp (8805293)

Structural diagram of attention mechanism. حسب Libo Liu (552605)

"…The value of COD reflects the effectiveness and trend of sewage treatment to a certain extent, but obtaining accurate data requires high cost and labor intensity. To1 solve this problem, this paper proposes an online soft measurement method for COD based on Convolutional Neural Network-Bidirectional Long Short-Term Memory Network-Attention Mechanism (CNN-BiLSTM-Attention) algorithm. …"

Comparison of the visualization results of the high-attention part of the text data, the lower part is the output of the CAM, and the upper part is the output of the self-attention... حسب Jin Jin (342682)

The structure of the cross-attention module in U-Net framework. حسب Anfeng Zhu (17817144)

الموضوعات:

The computational workflow of the self-attention mechanism. حسب Xuezhao Zhang (22567022)

Resultant hip, knee and ankle joint contact forces obtained with the different models. حسب Hans Kainz (8459514)

الموضوعات:

Attention heatmaps for selected cases. حسب Yaxun Jia (12000572)

Evaluation indicators of network attention. حسب Feng Yuxin (18275639)

"…Research shows that: (1) Overall, the network attention to case-based destinations is relatively low, and there are significant differences in network attention among different attractions. …"

Heterogeneous analysis: External attention. حسب Fangjun Wang (1654270)

"…Heterogeneity analysis further underscores that the effect of green funds is particularly potent in companies with high external attention. Furthermore, green funds also play significant roles in production capabilities and economic value. …"