Assessment of horizontal shifting errors in open-source DEMs and their impact on 1D hydraulic modeling of meandering river channel by Md. Ismail Firoz, Md. Latifur Rahman Sarker, Janet Nichol, Eko Siswanto

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Mapping Crop Types and Cropping Patterns Using Multiple-Source Satellite Datasets in Subtropical Hilly and Mountainous Region of China by Yaoliang Chen, Zhiying Xu, Hongfeng Xu, Zhihong Xu, Dacheng Wang, Xiaojian Yan

“…Here we propose a crop type and cropping pattern mapping framework in subtropical hilly and mountainous areas, considering multiple sources of satellites (i.e., Landsat 8/9, Sentinel-2, and Sentinel-1 images and GF 1/2/7). …”
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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…Here we present VANTAGE (Video Analysis and Navigation Tool for Advanced Graphical Exploration, available at https://github.com/sschoombie/VANTAGE), a new open‐source graphical user interface written in Python. …”
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<i>Introibo Ad Altare Dei</i>—Visual Displaying and Liturgical Ornamentation of Christian Altars in the Late Medieval Illustrations of the Roman Rite by Ángel Pazos-López

“…Drawing on a wide range of contemporary visual and documentary sources, the study traces the continuity and variation in the altar’s iconography, offering a nuanced understanding of its role in medieval Christian worship. …”
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A Comparative Examination of European Countries and the Ottoman State in the Context of Visual Arts and Music (Between the 18th and 20th Centuries) by Fatma Zehra Karışman

“…The examination of civilizations and the comparison of data acquired are restricted to sources obtained through the literature.…”
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Enhancing the visual environment of urban coastal roads through deep learning analysis of street-view images: A perspective of aesthetic and distinctiveness. by Yu Zhang, Xing Xiong, Shanrui Yang, Qinghai Zhang, Minghong Chi, Xiaoyu Wen, Xinyu Zhang, Junwei Wang

“…This study integrates deep learning with human perception data sourced from street view images to study the relationship between visual landscape features and human perception of urban waterfront areas, employing linear regression and random forest models to predict human perception along urban coastal roads. …”
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A contribuição peirciana para a representação indexal de imagens visuais <p> The percien contribution for an indexal representation of visual images by Jean-Guy Meunier, Casemiro Silva Neto, Virginia Bentes Pinto

“…<p>However, even if along history the visual images have gained a great importance as sources of information, one cannot deny that with the newest information and communication technologies (ICT) they drew the attention of experts from the most different fields of knowledge, such as arts, biology, astronomy, archeology, history, health, fashion, decoration, public relations, editing, engineering and architecture, among others. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…Use of multimodal data, meaning data coming from multiple sources, might contribute to machine-learning stress severity detection. …”
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Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China by Yinchao Xie, Yijia Zhao, Wei Liu, Xuefeng Bai, Hao Xu

“…Finally, the visual impact scores of the mountains in the site are synthesized. …”
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A novel approach to analyzing the evolution of SARS-CoV-2 based on visualization and clustering of large genetic data compactly represented in operative memory by A. Yu. Palyanov, N. V. Palyanova

“…SARS-CoV-2 is a virus for which an outstanding number of genome variants were collected, sequenced and stored from sources all around the world. Raw data in FASTA format include 16.8 million genomes, each ≈29,900 nt (nu­cleotides), with a total size of ≈500 ∙ 109 nt, or 465 Gb. …”
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Intelligent Fault Warning Method for Wind Turbine Gear Transmission System Driven by Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun

“…Building on the above findings, a monitoring and early warning platform for the wind turbine transmission system was developed, integrating digital twin visualization with intelligent prediction functions. …”
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MSIMRS: Multi-Scale Superpixel Segmentation Integrating Multi-Source Remote Sensing Data for Lithology Identification in Semi-Arid Area by Jiaxin Lu, Liangzhi Li, Junfeng Wang, Ling Han, Zhaode Xia, Hongjie He, Zongfan Bai

“…In recent years, extracting lithology information from multi-source RS data has become an inevitable trend. Various classification image primitives yield distinct outcomes in lithology classification. …”
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Quantitative analysis of three-dimensional choroidal changes in coronary artery disease patients with swept-source optical coherence tomography angiography by Zhaoxia Zheng, Jing Liu, Jiayi Sun, Yue Zhang, Xiaoya Gu, Shuang Song, Xiaobing Yu

“…Purpose: To quantitatively analyze three-dimensional (3D) choroidal changes in coronary artery disease (CAD) patients with swept-source optical coherence tomography angiography (SS-OCTA) based on a scan area of 12×12mm. …”
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Visual analysis of emerging topics and trends in contrast agent extravasation research in medical imaging: a bibliometric study using CiteSpace and VOSviewer by Yun Liu, Yonghai Dong, Wenfang Zhou, Juhong Yu

“…PurposeThis study presents a visualization of the global research dynamics on contrast agent extravasation in medical imaging using a knowledge map, revealing the research directions, emerging topics, trends, and frontiers in this field.MethodUsing CiteSpace and VOSviewer software with the Web of Science Core Collection database as the data source, a bibliometric analysis was conducted on relevant studies of contrast agent extravasation in medical imaging examinations. …”
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Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy by Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin

“…Visual information is becoming increasingly essential in construction management. …”
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Identification and Quantification of Anthocyanins in Various Organs of Potato Varieties (<i>Solanum tuberosum</i> L.) as Potential Visual Selection Markers During Breeding by Irina V. Kim, Muhammad A. Nawaz, Dmitry I. Volkov, Aleksey G. Klykov, Mayya P. Razgonova, Kirill S. Golokhvast

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Access to Digital Cultural Heritage: Exploring Future Perspectives Through Open Tools of Research by Veronica Casadei, Giuseppe Di Modica

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GPU-Enabled Volume Renderer for Use with MATLAB by Raphael Scheible

“…The renderer is available as open-source software.…”
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The Artistic and Ideological Framework of Funerary and Mourning Ceremonies for Polish Monarchs in the 16th Century: A Study on Reconstructing the Visual Aspects of Funeral Rites by Piotr Józef Janowski

“…Additionally, it addresses the challenges of reconstructing the visual aspects of these ceremonies, with particular attention paid to their artistic and ideological components and their connections to the funerary traditions of other European rulers.…”
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Efficacy of anti-VEGF and laser photocoagulation in the treatment of visual impairment due to diabetic macular edema: a systematic review and network meta-analysis. by Stephane Régnier, William Malcolm, Felicity Allen, Jonathan Wright, Vladimir Bezlyak

“…<h4>Outcome measure</h4>Improvement in best-corrected visual acuity (BCVA) measured as the proportion of patients gaining ≥10 letters on the Early Treatment Diabetic Retinopathy Study scale. …”
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