Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Accurate evaluation of fish feeding intensity is crucial for optimizing aquaculture efficiency and the healthy growth of fish. Previous methods mainly rely on single-modal approaches (e.g., audio or visual). …”
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Global research status and frontiers on ferroptosis in hepatocellular carcinoma: a comprehensive bibliometric and visualized analysis by Jiayu Zhu, Shengping Luo, Fei Yu, Kewei Sun

“…ObjectiveThe purpose of this study was to analyze the research hotspots and future trends in the field of ferroptosis in hepatocellular carcinoma in the past 10 years by using bibliometrics and visualization software, and to provide reference for future research directions in this field.MethodsThe Web of Science database was searched from January 1, 2012, to October 30, 2024, and the annual publication volume, countries, institutions, journals, authors, references, keywords, and other information in this field were analyzed by bibliometrics, VOSviewer, and CiteSpace.ResultsA total of 645 English articles from 729 institutions in 32 countries were included in this study, with 4545 authors published in 261 journals. …”
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Research on transcranial magnetic stimulation for stroke rehabilitation: a visual analysis based on CiteSpace by Xiang Ji, Jing Zhang, Di Chen, Qing Qin, Fubiao Huang

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Unmasking AI-created visual content: a review of generated images and deepfake detection technologies by Yupeng Zhang, Zongwei Pang, Shanyuan Huang, Chengyou Wang, Xiao Zhou

“…We also analyze the technical characteristics of existing methods based on the different feature information they utilize, summarizing and categorizing them. …”
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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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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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Rapid Visual Screening for Seismic Assessment of Hospital Buildings: A Case Study of Kabul City by Abdul Ali Raoufy, Ali Kheyroddin, Hosein Naderpour

“…In the current applied research, the seismic vulnerability of 26 hospitals that had 79 existing buildings were assessed with the Rapid Visual Screening (RVS) technique of FEMA P-154 method in two levels for the first time, and their location was determined by Geographic Information System (GIS). …”
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Presenting segmented images in a rapid serial visual presentation stream improves search accuracy by Krystina Diaz, Mark W. Becker, Chad Peltier, Jeffrey B. Bolkhovsky

“…Abstract Visual search performance is a critical factor in many high-stakes duties, warranting the need for strategies to enhance target detection accuracy. …”
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Development and Application of Small Object Visual Recognition Algorithm in Assisting Safety Management of Tower Cranes by Xiao Sun, Xueying Lu, Yao Wang, Tianxiao He, Zhenghong Tian

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Patient-Reported Outcomes of Visual Disturbances with a Trifocal Intraocular Lens: A Meta-Analysis by Dagny Zhu, Suyen Karki, Mukesh Dhariwal, Erkki Soini, Christian Asseburg

“…Method A systematic literature search was conducted in PubMed and congress presentations from April 2021 to December 2022 to identify studies with patient-reported outcomes on the incidence of visual disturbances (starbursts, halos, glare) post bilateral implantation of PanOptix IOL during cataract surgery. …”
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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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Global research on cognitive function for Schizophrenia from 2014 to 2024: a bibliometric and visual analysis by Yansha Gan, Chunyu Dong, Jiaojiao Sun, Danting Yang, Jiajun Yin, Zhenhe Zhou

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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

“…We used the AutoMorph pipeline to extract retinal features and used four types of ML models for ADHD screening and EF subdomain prediction, and we adopted the Shapely additive explanation method. ADHD screening models achieved 95.5%-96.9% AUROC. …”
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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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Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. by Leland S Hu, Shuluo Ning, Jennifer M Eschbacher, Nathan Gaw, Amylou C Dueck, Kris A Smith, Peter Nakaji, Jonathan Plasencia, Sara Ranjbar, Stephen J Price, Nhan Tran, Joseph Loftus, Robert Jenkins, Brian P O'Neill, William Elmquist, Leslie C Baxter, Fei Gao, David Frakes, John P Karis, Christine Zwart, Kristin R Swanson, Jann Sarkaria, Teresa Wu, J Ross Mitchell, Jing Li

“…In a training set, we used three texture analysis algorithms and three ML methods to identify MRI-texture features that optimized model accuracy to distinguish tumor content. …”
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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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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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