Attention-assisted dual-branch interactive face super-resolution network by Xujie Wan, Siyu Xu, Guangwei Gao

“…Additionally, the Attention Feature Fusion Unit (AFFM) optimizes multi-scale feature integration. …”
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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

“…For the exploration of correlation among the tokens, a lightweight multi-head self-attention scheme with a position encoder is employed. …”
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Absence of Right Visual Field Attentional Bias in Reading in Dyslexic Children by Laure Bricout-Tomasi, Catherine Billard, Eric Siéroff

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Graph attention, learning 2-opt algorithm for the traveling salesman problem by Jia Luo, Herui Heng, Geng Wu

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Parental attention patterns to ask children to study in the Covid-19 pandemic by Buhaerah Buhaerah

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Investor Attention: Can Google Search Volumes Predict Stock Returns? by Claudia Yoshinaga, Fabio Rocco

“…This paper investigates the role of investor attention in predicting future stock market returns for Brazilian stocks using Google Search Volume (GSV). …”
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Factors associated with attention-deficit/hyperactivity disorder among Tunisian children by Asma Guedria, Asma Guedria, Asma Guedria, Mohamed Guedria, Manel Ben Fredj, Manel Ben Fredj, Randaline Ayoub, Randaline Ayoub, Randaline Ayoub, Hela Ben Abid, Hela Ben Abid, Hela Ben Abid, Ahmed Mhalla, Ahmed Mhalla, Ahmed Mhalla, Hela Slama, Hela Slama

“…IntroductionAttention-deficit/hyperactivity disorder (ADHD) is a chronic neurodevelopmental condition that affects millions of children and adolescents worldwide. …”
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Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning by Tongyue Li, Dianxi Shi, Songchang Jin, Zhen Wang, Huanhuan Yang, Yang Chen

Subjects: “…hierarchical graph attention…”
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Exploring the operator experience in automated shuttles: Fatigue, attention, and gaze behaviour by Christer Ahlström, My Weidel, Anna Sjörs Dahlman, Ashleigh Filtness, Anna Anund

“…Operators paid less attention to their surroundings than would be expected (21% not looking left, 38% not looking right, 58% not looking to the rear of the vehicle, in situations where this would have been appropriate).The results are important for safety operators and their employers, highlighting the shared responsibility of having well-prepared and well-rested operators who are fit to effectively monitor the automated shuttle for an entire driving period. …”
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Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

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Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networks by Linyan Li, Yu Sun, Fuyuan Hu, Tao Zhou, Xuefeng Xi, Jinchang Ren

“…In this paper, we propose an Attentional Concatenation Generative Adversarial Network (ACGAN) aiming at generating 1024 × 1024 high-resolution images. …”
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Opening a Window on Attention: Adjuvant Therapies for Inflammatory Bowel Disease by Qiyue Wang, Shuyi Mi, Zixuan Yu, Qiyi Li, Jiacai Lei

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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention by Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti

“…This work presents a novel Transformer attention mechanism inspired by the Kolmogorov–Arnold representation theorem, incorporating learnable non-linearity and multivariate function decomposition. …”
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Design and Implementation of Attention-Based CR System in the Context of Big Data by Zheyi Wang, Yanli Kuang, Xin Lyu

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Anomaly Detection in Moving Crowds through Spatiotemporal Autoencoding and Additional Attention by Biao Yang, Jinmeng Cao, Rongrong Ni, Ling Zou

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Voluntary Spatial Attention has Different Effects on Voluntary and Reflexive Saccades by Stephanie K. Seidlits, Tammie Reza, Kevin A. Briand, Anne B. Sereno

“…Some studies have suggested that spatial attention facilitates saccades, whereas others have claimed that eye movements are actually inhibited when spatial attention is engaged. …”
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The UnconTrust Database for Studies of Unconscious Semantic Processing and Attentional Allocation by Maor Schreiber, Francois Stockart, Liad Mudrik

“…Here, we present the UnconTrust database for studies of unconscious processing focusing on two major domains – semantic and attentional processing. The database allows researchers to explore potential influences and obtain a bird’s eye view on the field with respect to these domains. …”
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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction by Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif

“…In STSAN, we design a trajectory attention module to learn users’ dynamic trajectory representation, which includes three modules: location attention, which captures the location sequential transitions with self-attention; spatial attention, which captures user’s preference for geographic location; and temporal attention, which captures the user temporal activity preference. …”
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Query-Based Instance Segmentation with Dual Attention Transformer for Autonomous Vehicles by Aya Taourirte, Li-Hong Juang

Subjects: “…dual attention transformer…”
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