Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

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Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention by Kavi Priya S, Pon Karthika K, Jayakumar Kaliappan, Senthil Kumaran Selvaraj, Nagalakshmi R, Baye Molla

“…The decoding unit employs a self-attention mechanism encompassed with BiLSTM to create more descriptive and relevant captions in natural language. …”
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Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices by Sumitra Nuanmeesri

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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…In our model, graph attention layers are employed to effectively capture essential local structures by jointly considering atom and bond features, while multi-head attention layers extract important global features. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

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A new method of distracting attention: Is it effective for pain and fear during phlebotomy in children? by Mine Aydemir Sahin, Yeliz Cigerci, Hamide Nur Cevik Ozdemir

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A listening advantage for native speech is reflected by attention-related activity in auditory cortex by Meng Liang, Johannes Gerwien, Alexander Gutschalk

“…Here we test the hypothesis that attentional enhancement in auditory cortex is stronger for native speech, using magnetoencephalography. …”
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CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel by Fuqin Deng, Junwei Li, Lanhui Fu, Chuanbo Qin, Yikui Zhai, Hongmin Wang, Ningbo Yi, Nannan Li, TinLun Lam

“…This work investigates the automatic age recognition of the tangerine peel based on deep learning and attention mechanisms. We proposed an effective ConvNeXt fusion attention module (CNFA), which consists of three parts, a ConvNeXt block for extracting low-level features’ information and aggregating hierarchical features, a channel squeeze-and-excitation (cSE) block and a spatial squeeze-and-excitation (sSE) block for generating sufficient high-level feature information from both channel and spatial dimensions. …”
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Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

Subjects: “…attention mechanism…”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…Second, we develop a multi-channel spatial attention contrastive network to extract topological features from the brain network within each time window. …”
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An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction by Zhihong Li, Xiaoyu Wang, Kairan Yang

“…Our new hybrid model gives a higher accuracy than the support vector regression (SVR) model, LSTM neural network-attention (LSTM-attention) model, and temporal convolutional network (TCN) model. …”
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Enhanced oracle bone corrosion detection using attention-guided YOLO with ghost convolution by Feng Gao, Ziheng Yang, Qiyu Liu, Zhan Zhang, Bang Li, Han Zhang

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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

“…In this study, we introduce Deep MS Simulator (DMSS), a novel attention-based model tailored for forecasting theoretical spectra in mass spectrometry. …”
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“Out of sight out of mind”: attentional characteristics in mothers who have children with autism by Xue Du, Shuanghong Gao, Ting Huang, Jian Liang, Xiao Xiao

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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…By considering the graphical representation of the articulators’ motion, this study combined Bidirectional Long Short-Term Memory (BiLSTM) with convolution neural network (CNN) and adopted the idea of word attention in Mandarin to extract semantic features. …”
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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

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A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

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Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion by Renhan Zhang, Xuegang Luo, Junrui Lv, Junyang Cao, Yangping Zhu, Juan Wang, Bochuan Zheng

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A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention by Hongfang Gong, Yingjing Ding, Minyi Ma

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Investigation of perceived stress and attention deficit and hyperactivity disorder in shooters according to some variables by Zekiye Özkan, Gülçin Güler, Sanem Şehribanoğlu

Subjects: “…Attention-deficit/hyperactivity disorder (ADHD)…”
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