Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals by Kang Yan, Weidong Jin, Yingkun Huang, Zhenhua Li, Pucha Song, Ligang Huang

“…To address this problem, we propose a deep anomaly detection with attention (DADA) for semisupervised detection of multipath radar signals. …”
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A Real-Time Measurement Model of Attention-Allocation Level and Its Application in Simulated SPO Task by Lei Wang, Zhiyang Zhang, Wei Tan, Zhongchang Yang

“…Most human-caused flight accidents can be attributed to a pilot’s attention deficit and monitoring errors. Accordingly, pilots’ attention allocation is strongly related to their task performance. …”
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Leveraging Deep Spatiotemporal Sequence Prediction Network with Self-Attention for Ground-Based Cloud Dynamics Forecasting by Sheng Li, Min Wang, Minghang Shi, Jiafeng Wang, Ran Cao

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Unraveling the insomnia puzzle: sleep reactivity, attention deficit hyperactivity symptoms, and insomnia severity in ADHD Patients by Hilal Uygur

Subjects: “…attention deficit hyperactivity…”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…Firstly, we integrate a Transformer module based on the self-attention mechanism with the C3 module at the end of the backbone network to form a C3TR module. …”
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Association between the attentional network efficiency and change of direction speed ability in young male Indian footballers by Debabrata Chatterjee, Santi Ranjan Dasgupta, Santi Ranjan Dasgupta, Arkadeb Dutta, Arkadeb Dutta

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False data injection attack sample generation using an adversarial attention-diffusion model in smart grids by Kunzhan Li, Fengyong Li, Baonan Wang, Meijing Shan

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Effect of physical activity and interstimulus interval on an RSVP task: A replication of Raymond et al. (1992) by Bradley-Garcia, Meenakshie, Zhang, Anqi, Erbayav, Arda, Arranz, Artemis, Leclair, Danica, Kotch, Gabe, Mallet, Matthieu, Boivin, Thomas, Bensmaia, Sophia, Brisebois, Rosalie, Carraro, Francesca, Coulombe Grinham, Maya, Ekoly-Wambi, Rhema, Estephan, Rebecca, Josiah, Kathy, Lacroix, Émilie, Mayotte, Edwige, Meyerovich, Erika, Montminy-Bergeron, Charlotte, Muco, Annick, Pala, Deniz, Piquette, Amélie, Poirier, Isabelle, St-Aubin, Camille, T-Beauchamp, Cassandra

Subjects: “…attentional blink…”
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EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

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Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism by Jiade Wu, Yang Ying, Yigao Tan, Zhuliang Liu

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ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention by Xiaohong Wang, Qian Ye, Lei Liu, Haitao Niu, Bangbang Du

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A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

“…The proposed approach, termed KSC-ConvLSTM, integrates the k-nearest neighbors (KNN) algorithm, spatio-temporal attention (STA) mechanism, the residual block, and convolutional long short-term memory (ConvLSTM) neural network. …”
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Correction: A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification by Yongmin Liu, Fengjiao Xiao, Xinying Zheng, Weihao Deng, Haizhi Ma, Xinyao Su, Lei Wu

“…The algorithm first utilizes different convolution kernels in CNN to extract multi-scale local feature information, and then based on the global feature extraction ability of attention mechanism, parallel processing of channel and spatial attention mechanism is used to extract multidimensional global feature information. …”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

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Increase in Occurrence of Attention Deficit Hyperactivity Disorder Differs by Age Group and Gender—Finnish Nationwide Register Study by Elisa Westman, Tuire Prami, Alvar Kallio, Ilona Iso‐Mustajärvi, Joel Jukka, Paavo Raittinen, Maarit J Korhonen, Anita Puustjärvi, Sami Leppämäki

Subjects: “…attention deficit hyperactivity disorder…”
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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…The addition of a multi-query attention (MQA) module enhances multi-scale feature integration, allowing end-to-end learning guided by ground truth. …”
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BA-ATEMNet: Bayesian Learning and Multi-Head Self-Attention for Theoretical Denoising of Airborne Transient Electromagnetic Signals by Weijie Wang, Xuben Wang, Xiaodong Yu, Debiao Luo, Xinyue Liu, Kai Yang, Wen Yang, Xiaolan Yang, Ke Hu, Wenyi Hu

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Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO by Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu

“…The proposed hybrid model utilizes a two-way attention method at its encoding and decoding stages, in which an encoding attention layer helps to recognize all the essential features from an input vector, and a decoding attention layer helps to resolve the fixed context vector problem by offering better memory capacity. …”
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