Rebar Recognition Using Multi-Hyperbolic Attention in Faster R-CNN by Chuan Li, Nianbiao Cai, Tong Pu, Xi Yang, Hao Liu, Lulu Wang

“…Before the Region Proposal Network (RPN) and region of interest (ROI) pooling stages in Faster R-CNN, this study integrates a hyperbolic attention (HAT) module. Through refined distance metrics, the hyperbolic attention mechanism enhances the network’s Precision in identifying rebar hyperbolic features within feature maps. …”
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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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Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction by Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Muhammad Shahzad Sarfraz, Yang Yu, Hafiz Tayyab Rauf

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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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Developing a Silicon Beam Emulator Using Graph Attention Networks by Siyuan Lv, Qianxi Cheng, Haojie Gong, Hao Gao, Dong Zhou, Zheng Duanmu

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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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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

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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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Chinese herbal medicine recognition network based on knowledge distillation and cross-attention by Qinggang Hou, Wanshuai Yang, Guizhuang Liu

“…Abstract In order to reduce the number of parameters in the Chinese herbal medicine recognition model while maintaining accuracy, this paper takes 20 classes of Chinese herbs as the research object and proposes a recognition network based on knowledge distillation and cross-attention – ShuffleCANet (ShuffleNet and Cross-Attention). …”
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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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Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning by Weizheng Qiao, Xiaojun Bi, Lu Han, Yulin Zhang

“…In this study, we propose the spatio-temporal EEGNet, which integrates contractive slab and spike convolutional deep belief network (CssCDBN) with a self-attention architecture, augmented by dual-task learning to address this issue. …”
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Attention activation network for bearing fault diagnosis under various noise environments by Yu Zhang, Lianlei Lin, Junkai Wang, Wei Zhang, Sheng Gao, Zongwei Zhang

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Automated Chest X-Ray Diagnosis Report Generation with Cross-Attention Mechanism by Jian Zhao, Wei Yao, Lei Sun, Lijuan Shi, Zhejun Kuang, Changwu Wu, Qiulei Han

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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

“…However, it seems that self-attention is not always necessary, especially in sparse spike-form calculation manners. …”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…Finally, an analysis of the anti-outlier interference capability of the multimode fusion network with mutual attention is carried out. The test results show that the multimode mutual attention fusion network containing a feature fusion attention mechanism has the highest detection performance and anti-interference ability. …”
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