Pedestrian Detection Algorithm Combining Attention Mechanism and Nonmaximum Suppression Method by Duo Pan, Xuemei Zhou

“…To solve the above problems, a pedestrian detection algorithm combining attention mechanism and nonmaximum suppression method is proposed in this study, aiming to improve the accuracy of pedestrian detection. …”
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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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Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

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Studying attention to IPCC climate change maps with mobile eye-tracking. by Doga Gulhan, Bahador Bahrami, Ophelia Deroy

“…This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations. …”
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Parental attention patterns to ask children to study in the Covid-19 pandemic by Buhaerah Buhaerah

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Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms by Areej Alotaibi, Duaa AlSaeed

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Research on pedestrian trajectory prediction method based on social attention mechanism by Linhui LI, Bin ZHOU, Jing LIAN, Yafu ZHOU

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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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Fine-Grained Classification via Hierarchical Feature Covariance Attention Module by Yerim Jung, Nur Suriza Syazwany, Sujeong Kim, Sang-Chul Lee

Subjects: “…Attention module…”
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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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