Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

“…The proposed navigation method also outperformed PPO and similar approaches in the literature.…”
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A Study on the Effects of Distinct Visual Elements and Their Combinations in Window Views on Stress and Emotional States by Ping Zhang, Tao Yang, Yunque Bo, Wenqi Song, Wenyu Liu, Wei Ni, Wenjie Gao, Xiaoyan Qi

“…Observing window views is widely considered an effective method to alleviate stress and promote mental health. …”
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Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning by Umar Subhan Malhi, Junfeng Zhou, Abdur Rasool, Shahbaz Siddeeq

“…In fashion e-commerce, predicting item compatibility using visual features remains a significant challenge. Current recommendation systems often struggle to incorporate high-dimensional visual data into graph-based learning models effectively. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…ObjectiveVisual inspection is an important technology for the roadside perception of vehicle-road cooperative. …”
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Semiotics of Visual Metaphor in Mexican Electoral Discourse: Case-Study of the 2024 Presidential Election Campaign by Marina V. Larionova, Sofia K. Mosina

“…The research methodology, which allows for a systematic study of visual metaphors semiotics, is based on the interdisciplinary and polyparadigmatic model of discourse studies and implies an integral approach that combines the general scientific methods of analysis and synthesis, comparison and analogy with the method of sociolinguistic interpretation, semantic, interpretive, linguocognitive and discourse analysis. …”
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Workplace Safety Training Using Visual-Simultaneous-Localization-and-Mapping-Based Mobile Augmented Reality by Heinrich Söbke, Tobias Friedel, Florian Wehking, Thomas Haupt, Jens Wiggenbrock

“…A total of 12 participants took part in the mixed-method study. Standardized questionnaires were used to assess usability, cognitive load and the learner prerequisites of motivation and emotion. …”
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Visualizing the enteric nervous system using genetically engineered double reporter mice: Comparison with immunofluorescence. by Yanfen Jiang, Hui Dong, Lars Eckmann, Elaine M Hanson, Katherine C Ihn, Ravinder K Mittal

“…Immunohistochemistry has been widely used to visualize neurons of the ENS for more than two decades. …”
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Attempts to preserve and visualize protein corona on the surface of biological nanoparticles in blood serum using photomodification by Julia E. Poletaeva, Anastasiya V. Tupitsyna, Alina E. Grigor’eva, Ilya S. Dovydenko, Elena I. Ryabchikova

“…To isolate photomodified bio-NPs, we used ultracentrifugation (UC), sucrose gradient (12%, 30%, and 50%), and sucrose cushion (30%) methods. Isolated bio-NPs were visualized using transmission electron microscopy. …”
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RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…An enhanced RT-DETR (Real-Time Detection Transformer) model, RT-DETR-Pro, is proposed to address the problem of low recognition rates for visual detection of PV (photovoltaic) module defects by traditional object detection methods. …”
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Retinal fundus imaging as biomarker for ADHD using machine learning for screening and visual attention stratification by Hangnyoung Choi, JaeSeong Hong, Hyun Goo Kang, Min-Hyeon Park, Sungji Ha, Junghan Lee, Sangchul Yoon, Daeseong Kim, Yu Rang Park, Keun-Ah Cheon

“…For EF function stratification, the visual and auditory subdomains showed strong (AUROC > 85%) and poor performances, respectively. …”
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Design and Visual Implementation of a Regional Energy Risk Superposition Model for Oil Tank Farms by Yufeng Yang, Xixiang Zhang, Shuyi Xie, Shanqi Qu, Haotian Chen, Qiming Xu, Guohua Chen

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Hybrid Multi-Attention Network for Audio–Visual Emotion Recognition Through Multimodal Feature Fusion by Sathishkumar Moorthy, Yeon-Kug Moon

“…Current emotion recognition approaches often rely on cross-modal attention mechanisms, particularly audio and visual modalities; however, these methods do not assume the complementary nature of the data. …”
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Theory of Mind and Reactions to Emotional Responses in Children with Visual Impairments: A Comparison with Sighted Children by Selda Özdemir, Hale Çotuk

“…The research's purpose was to investigate the relationships between the children's ToM scores and their responses to emotional expressionsMethod: The study consisted of 20 children with low vision (x = 58.45, sd = 1.74), 19 children with severe visual impairments (x = 60.36, sd = 1.84), and 20 sighted children (x̄ = 60.35, ss = 1.58) who were between the ages of 48 and 72 months and did not have additional disabilities or developmental delays. …”
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Critical Visuality Analysis of Sexuality in Qajar`s Painting (Geneanalysis of Body and Face in School of Royal Portraiture) by Hassan Zeinolsalehin

“…This essay tries to address such questions about the visual representation of sexuality in the visual culture of this period. …”
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Visual Snow Syndrome is unstable: A longitudinal investigation of VSS symptoms in a Naïve population by Amy Claire Thompson, Patrick T. Goodbourn, Jason D. Forte

“…To fully characterise VSS, it is important to understand whether (and how) subclinical VSS progresses to a clinical form. Methods Here, we present two related studies: Study 1 develops and validates the Melbourne Visual Snow Questionnaire (MVSQ), a tool for screening the general population for VSS symptoms; and Study 2 investigates the stability of subclinical VSS. …”
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Neoadjuvant therapy for colorectal cancer from 2015 to 2024: a visual analysis and bibliometric analysis by Boyu Kang, Yihuan Qiao, Jun Zhu, Jun Zhu, Jipeng Li, Jipeng Li

“…The purpose of this research is to create a visual knowledge map based on bibliometric analysis, identify research hotspots and predict future research trends.MethodUtilizing the Web of Science Core Collection (WoSCC) as data source and integrating the visualization capabilities of the Bibliometrix R software package, CiteSpace, and VOSviewer, analyze the authors, research institutions, countries, cited documents, publishing journals, abstracts, and keyword information of literature pertaining to neoadjuvant therapy for colorectal cancer spanning from January 2015 to December 2024.ResultThe analysis included 1,587 articles from 1,464 institutions, 385 journals, and 61 countries or regions. …”
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Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics by Dayan Li

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A lysosome-targeted fluorescent probe with large Stokes shift for visualizing biothiols in vivo and in vitro by Taotao Zhao, Tong Zhang, Zijun Tao, Zhe Zhou, Xiaofeng Xia, Zhengjun Wu, Feiyi Wang, Jun Ren, Erfei Wang

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Evaluation of additional points in the 24-2C visual field test in pre-perimetric glaucoma by Gökhan Çelik, Tuncay Karaçocuk, Furkan Çiftci

“…However, studies of early visual field (VF) changes, particularly those using the 24-2C VF test, are limited. …”
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Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024 by Huan Liu, Qing Huo, Qing Huo, Qing Huo, Feng Li, Xu Luo, Renli Deng

“…However, there is currently no bibliometrics to evaluate the scientific advances in this field.ObjectiveThis study aims to visually analyze the current research trends regarding the application of machine learning in the field of MCI through bibliometry and visualization techniques.MethodsUsing the Web of Science Core Collection database (Wo SCC), relevant articles and reviews of the collection database 2015–2024. …”
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