Gesture Recognition with Residual LSTM Attention Using Millimeter-Wave Radar by Weiqing Bai, Siyu Chen, Jialiang Ma, Ying Wang, Chong Han

“…We introduce a residual attention mechanism to enhance the network’s focus on gesture features and avoid the impact of irrelevant features on recognition accuracy. …”
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Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene by Xinhua Lu, Jingui Miao, Qingji Xue, Hui Wan, Hao Zhang

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Investigating behavioural addictions in adults with and without attention deficit hyperactivity disorder. by James L Findon, Annika Muck, Beáta Tóthpál-Davison, Eleanor J Dommett

“…Attention deficit hyperactivity disorder (ADHD) confers greater risk of alcohol and substance use disorders, which may be linked to altered compulsivity and impulsivity within the condition. …”
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Multi-Step Forecasting of Chlorophyll Concentration with Multi-Attention Collaborative Network by Yingying Jin, Feng Zhang, Xia Wang, Lei Wang, Kuo Chen, Liangyu Chen, Yutao Qin, Ping Wu

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The Dynamic Effect of Public Information on Liquidity: From the Perspective of Limited Attention by Tao Bing, Yian Cui

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Aberrant Resting-State Functional Connectivity of the Dorsal Attention Network in Tinnitus by Haimeng Hu, Yining Lyu, Shihong Li, Zheng Yuan, Chuntao Ye, Zhao Han, Guangwu Lin

“…Previous functional magnetic resonance imaging (fMRI) analyses have shown that the dorsal attention network (DAN) is involved in the pathophysiological changes of tinnitus, but few relevant studies have been conducted, and the conclusions to date are not uniform. …”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

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Alzheimer's disease image classification based on enhanced residual attention network. by Xiaoli Li, Bairui Gong, Xinfang Chen, Hui Li, Guoming Yuan

“…By combining residual learning, attention mechanism, and soft thresholding, the feature representation ability and classification accuracy of the model have been improved. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

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Attention Deficit Hyperactivity Disorder: A Neglected Issue in the Developing World by J. M. Chinawa, O. I. Odetunde, Herbert A. Obu, A. T. Chinawa, Muideen O. Bakare, F. A. Ujunwa

“…Background. Attention deficit hyperactivity disorder (ADHD) is a neglected illness in a developing country. …”
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Multidimensional Attention-Based CNN Model for Identifying Apple Leaf Disease by Kahkashan Perveen, Sanjay Kumar, Sahil Kansal, Mukesh Soni, Najla A. Alshaikh, Shanzeh Batool, Mehrun Nisha Khanam, Bernard Osei

“…A unique dual-branch apple leaf disease diagnosis system (DBNet) was put out to address the aforementioned issues. An attention branch with many dimensions and a multiscale joint branch (MS) make up the dual-branch network topology of the DBNet (DA). …”
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Does urban green development attention improve energy resource misallocation? by Yongjian Lai, Xiangmin He

Subjects: “…urban green development attention…”
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Document-Level Neural TTS Using Curriculum Learning and Attention Masking by Sung-Woong Hwang, Joon-Hyuk Chang

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Multichannel Speech Enhancement in Vehicle Environment Based on Interchannel Attention Mechanism by Xueli Shen, Zhenxing Liang, Shiyin Li, Yanji Jiang

“…The paper presents a feature extraction method that we use interchannel attention mechanism frame by frame for learning spatial features directly from the multichannel speech waveforms. …”
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Feature enhanced cascading attention network for lightweight image super-resolution by Feng Huang, Hongwei Liu, Liqiong Chen, Ying Shen, Min Yu

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Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution by Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

“…Afterwards, the proposed attention module allocates temporal-dependent weights to hidden output of each LSTM cell, which describes significance of state output for final forecasting results. …”
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River Segmentation of Remote Sensing Images Based on Composite Attention Network by Zhiyong Fan, Jianmin Hou, Qiang Zang, Yunjie Chen, Fei Yan

“…To improve the segmentation efficiency, a composite attention mechanism is firstly introduced in the central region of the network to obtain the global feature dependence of river information. …”
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Stock price prediction with attentive temporal convolution-based generative adversarial network by Ying Liu, Xiaohua Huang, Liwei Xiong, Ruyu Chang, Wenjing Wang, Long Chen

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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

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Multiview attention networks for fine-grained watershed categorization via knowledge distillation by Huimin Gong, Cheng Zhang, Jinlin Teng, Chunqing Liu

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