Visualizing sound emission of elephant vocalizations: evidence for two rumble production types. by Angela S Stoeger, Gunnar Heilmann, Matthias Zeppelzauer, André Ganswindt, Sean Hensman, Benjamin D Charlton

“…In this study we used a sound visualization method (an acoustic camera) to record rumbles of five captive African elephants during spatial separation and subsequent bonding situations. …”
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Rapid and Visual Detection of Monkey B Virus Based on Recombinase Polymerase Amplification by Xinlan Chen, Chenchen Liu, Fangxu Li, Junhui Zhou, Zanheng Huang, Haili Zhang, Hualei Wang, Pei Huang, Zengguo Cao, Sandra Chiu

“…We developed two RPA assays for BV visualization diagnosis. RPA-VF-US6 is a simple, rapid, and specific detection method for BV. …”
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Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning by Gu Geng, Sida Zhou, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan

“…With the widespread use of sensors in applications such as autonomous driving and intelligent security, stable and efficient target tracking from diverse sensor data has become increasingly important. Self-supervised visual tracking has attracted increasing attention due to its potential to eliminate reliance on costly manual annotations; however, existing methods often train on incomplete object representations, resulting in inaccurate localization during inference. …”
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Neural network approach to ensuring visual coherence in augmented reality flight simulators by A. L. Gorbunov, Yunhan Li

“…., XR/AR simulators, is accompanied by a boom in research in the field of visual coherence (VC) of augmented reality scenes: virtual objects in these scenes should be virtually identical with real ones. …”
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Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…This study addresses Fine-Grained Visual Categorization (FGVC) by incorporating high-order feature fusions to improve the representation of feature interactions while mitigating the influence of confounding factors through causal inference. …”
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VISUAL ACUITY AND CLINICAL REFRACTION FOLLOWING IMPLANTATION OF VARIOUS MULTIFOCAL INTRAOCULAR LENSES by N. N. Temirov, N. E. Temirov

“…Aim. To analyze visual acuity, clinical refraction, and defocusing tolerance after the implantation of monofocal IOL with rotational asymmetric optic (Lentis Mplus 313 MF) compared with Acrysof ReSTOR SN6AD1.Materials and methods. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

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High-Order Temporal Context-Aware Aerial Tracking with Heterogeneous Visual Experts by Shichao Zhou, Xiangpan Fan, Zhuowei Wang, Wenzheng Wang, Yunpu Zhang

“…Visual tracking from the unmanned aerial vehicle (UAV) perspective has been at the core of many low-altitude remote sensing applications. …”
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Comparison of Environmental DNA Metabarcoding and Underwater Visual Census for Assessing Macrobenthic Diversity by Zifeng Zhan, Weiwei Huo, Shangwei Xie, Wandong Chen, Xinming Liu, Kuidong Xu, Yanli Lei

“…In contrast, traditional UVC was crucial for identifying certain taxa, such as Bryozoa, which were undetectable by eDNA methods. The low overlap in species detected by these methods underscores their complementary nature, highlighting the necessity of integrating multiple approaches to achieve a more comprehensive and accurate biodiversity assessment. …”
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Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate by Tae-Wuk Bae, Ji-Hyun Park, Jong-Won Park, Kee-Koo Kwon, Kwang-Yong Kim

“…Conclusions: By combining IDH visual indicators and the multi-layer perceptron method, medical staff can effectively respond to IDH in real time.…”
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Exploring communication supports for children with visual impairment and blindness: A case study by Kristen Abrahams, Dellicia de Vos, Armand Bam, Harsha Kathard

“…Background: Early communication supports are essential for development, learning and later employment. For children with visual impairments and blindness (VI and B), we argue that communication and its supports need to be considered outside of the normative ableist framework to best facilitate development. …”
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Zero-shot LLM-based visual acuity extraction: a pilot study by Shrirajh Satheakeerthy, Daniel Jesudason, Bobak Bahrami, Stephen Bacchi, Yong Min Lee, Robert Casson, Michelle Sun, WengOnn Chan

“…Abstract Introduction Visual acuity (VA) and intraocular pressure (IOP) measurements are crucial indicators of ocular health. …”
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Bibliometric and visual analysis of miRNAs in heart diseases from 2004 to 2023 by Ying Jin, Jingqi Duan, Qiaoxiang Yin, Yanmin Ma, Jingli Lou, Wei Zhang

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Visual Art as a Means of Presenting a Fashion Designer’s Creative Idea by Людмила Дихнич

“…The research methods include analysis and synthesis, historical and chronological, comparative, figurative and stylistic analysis, selective method, and systematisation of visual information. …”
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YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

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Developing historical thinking skills and creativity of visually impaired middle school students by Osman Akhan, Adem Uzun

“…The data obtained were transferred to the MAXQDA 2020 Plus qualitative data analysis program and analyzed with the descriptive analysis method and themes were created. According to the findings of the study, visually impaired students had the opportunity to develop their historical thinking skills and creativity. …”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…A classical explanation for the mechanism of two-dimensional orientation selectivity within the primary visual cortex is based on the Hubel-Wiesel model, a cascading neural connection structure. …”
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Text-Guided Visual Representation Optimization for Sensor-Acquired Video Temporal Grounding by Yun Tian, Xiaobo Guo, Jinsong Wang, Xinyue Liang

“…We propose a text-guided visual representation optimization framework tailored to enhance semantic interpretation over video signals captured by visual sensors. …”
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VCINet: Visual Cue-Inspired Feature Learning Network for SAR Building Segmentation by Mengyu Wang, Zhiyuan Yan, Wenhui Diao, Xudong Hu, Yingchao Feng, Linlin Xin, Junxi Li, Xian Sun

“…General deep learning methods often struggle to effectively represent consistent building features due to insufficient exploitation of the characteristics and visual cues. …”
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Differences in severity of diffuse and focal coronary stenosis between visual and quantitative assessment by Xinmao Wang, Xinmao Wang, Chao Song, Chao Song, Heng Liu, Heng Liu, Lin Zhou, Lin Zhou, Letian Zhang, Letian Zhang

“…Coronary angiography (CAG) is commonly employed as the definitive diagnostic tool for identifying coronary artery stenosis. Physician Visual Assessment (PVA) is often used as the primary method to determine the need for further intervention, but its subjective nature poses challenges. …”
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