Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. …”
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Research on the Visual SLAM Algorithm for Unmanned Surface Vehicles in Nearshore Dynamic Scenarios by Yanran Zhang, Lan Zhang, Qiang Yu, Bowen Xing

“…To address the challenges of visual SLAM algorithms in unmanned surface vehicles (USVs) during nearshore navigation or docking, where dynamic feature points degrade localization accuracy and dynamic objects impede static dense mapping, this study proposes an improved visual SLAM algorithm that removes dynamic feature points. …”
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Glass Encounters: Exploring Visual Culture and Urban Identity in Charlotte Brontë’s Villette by Chia-Chieh Mavis Tseng

“…These scenes reveal Lucy’s fragmented sense of identity through her reflections and her desire to control and frame her visual experiences. Finally, I analyze the exotic scene in Chapter 38, “Cloud,” where a spectacle is imaginatively presented behind a pane of glass, reflecting the display principles of the Great Exhibition.Keywords: Villette, Charlotte Bronte¨, glass, mirrors, windows, the Great Exhibition, urban identity, spectacles…”
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Hard Example Mining Method for Visual Perception Based on Multi-sensor Fusion by Jun LIN, Wenbo PAN, Jun YOU, Yanghan XU

“…Hard examples for visual perception can improve the performance of object detection effectively in autonomous driving scenes. …”
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A Microwave Vision-Enhanced Environmental Perception Method for the Visual Navigation of UAVs by Rui Li, Dewei Wu, Peiran Li, Chenhao Zhao, Jingyi Zhang, Jing He

“…Visual navigation technology holds significant potential for applications involving unmanned aerial vehicles (UAVs). …”
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Neural Implicit Monocular Visual SLAM for 3D Reconstruction in Planetary Environments by C. Liu, R. Huang, R. Huang, H. Xie, H. Xie, T. Tao, Y. Feng, Y. Feng, X. Tong, X. Tong

“…This paper introduces a novel strategy that integrates neural implicit networks within a visual SLAM framework. By jointly optimizing camera poses and implicit scene representations using neural radiance fields, we achieve high-precision visual localization in the Mars scene without requiring loop closure. …”
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Mobile Apps and Visual Function Assessment: A Comprehensive Review of the Latest Advancements by Caius Goh, Marilyn Puah, Zhi Hong Toh, Joewee Boon, Debbie Boey, Ryan Tay, Ashita A. Sule, Renee Liu, Xing-Er Ong, Aditya Kalra, Satvik Gupta, Andres Rousselot, William Rojas-Carabali, Bryan Ang, Rupesh Agrawal

“…Results Visual tests, including visual acuity and color vision tests, were most common among apps surveyed, and they were comparable to traditional clinical methods. …”
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Automated 3D defect inspection in shield tunnel linings through integration of image and point cloud data by Hongwei Huang, Shuyi Liu, Mingliang Zhou, Hua Shao, Qingtong Li, Phromphat Thansirichaisree

“…In this paper, a comprehensive inspection method is proposed to address these limitations by integrating multi-defect detection, 3D coordinate acquisition, and visualization. The inspection process involves the capture of both image data and point cloud data of tunnel linings using the newly developed inspection cart (MTI-300). …”
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A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…The presented system comprises a dedicated station frame, a self-sufficient solar power setup, an ultrasonic wind sensor, a data transmission node, cloud computing capabilities, and an end-user visualization application. …”
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Risk Assessment for Water Disaster of Karst Tunnel Based on the Weighting of Reliability Measurement and Improved Extension Cloud Model by Yingli Jiang, Jie Cui, Hao Liu, Yanlong Zhang

“…Based on the reliability measurement method and extension cloud theory, the reliability measurement weighting and improved extension cloud model are established for the risk assessment of water disaster in karst tunnels. …”
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RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment by D. Jain, J. Blossom, J. Hayes, H. Gibson, S. Rifas-Shimann, D. R. Gold

“…RINX (Raster INformation eXtraction) 2.0 is an advanced solution for efficiently extracting climate data from large raster datasets in a cloud computing environment. Building upon the original RINX 1.0, which utilized high-performance computing clusters, RINX 2.0 leverages cloud technologies such as OpenShift and PostGIS to handle massive datasets and automate the extraction process. …”
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Measurement and Verification of Selected Peaks in the “New Crown of Polish Mountains” for Investigating the Accuracy of LiDAR Point Clouds by Jagoda Hauzner, Krystian Kozioł, Izabela Dębska

“…In addition to analyzing the raw point clouds, the study also involved the visualization of the analyzed areas by the creation of Digital Terrain Models in two software programs: ArcGIS Pro and QGIS Desktop. …”
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A visual analysis of new technologies and craft aspects in the context of sustainable development by Katarzyna Mazur-Włodarczyk

“…A systematic literature review was conducted on documents created and indexed until November 2023 in the Scopus database – one of the most popular databases of scientific texts. Findings: The visualization of quantitative data (words appearing in titles and abstracts) was presented as cluster maps of terms generated by the VOSviewer program and word clouds created using the WordArt program. …”
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Cloud-edge cooperative optimization scheduling strategy of metro integrated supervision and control system based on edge computing by Yang Wang, Shusong Yang, Wei Zhang, Jiandi Jiang, Zetian Bai, Haojie Yang, Hui Fang

“…Using edge-side monitoring data ubiquitous sensing, edge node data feature analysis, panoramic monitoring visualization technology, optimizing the existing MISCS operation mode, designing the operation optimization scheme of the ground body integrated monitoring system applying edge computing technology, and targeting the problem of the current metro integrated monitoring system covering a wide range of areas and having too many tasks, which leads to the system latency being too high, under the cloud-edge cooperative architecture, we propose a simulated annealing-based Simulated-annealing-based Adaptive Genetic Taboo Search Algorithm (SAGTSA) computational offloading strategy, which enables the scheduling tasks of the MISCS to adaptively adjust the offloading strategy of migrating to the edge nodes or cloud center. …”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…Nonetheless, NeRF demonstrates strong potential for rapid, high-quality 3D documentation suitable for visualization and dissemination purposes in cultural heritage. …”
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Software Supporting the Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise by Yuri Matveev, Fares Abu-Abed, Olga Zhironkina, Sergey Zhironkin

“…Mathematical modeling and computer visualization of hazardous zones of toxic substance cloud spread that occur during different accidents at industrial enterprises located near residential areas are in high demand to support the operational planning of evacuation measures and accident response. …”
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Scalable method for exploring phylogenetic placement uncertainty with custom visualizations using treeio and ggtree by Meijun Chen, Xiao Luo, Shuangbin Xu, Lin Li, Junrui Li, Zijing Xie, Qianwen Wang, Yufan Liao, Bingdong Liu, Wenquan Liang, Ke Mo, Qiong Song, Xia Chen, Tommy Tsan‐Yuk Lam, Guangchuang Yu

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Discrimination between sea ice and clouds over the Chukchi Sea via China’s ultraviolet–visible-infrared observations by Ziyi Suo, Yingcheng Lu, Lijian Shi, Bin Zou, Qing Wang, Ling Li, Jun Tang, Weimin Ju, Manchun Li

“…However, this process is often impeded by heavy cloud cover, which shares similar visual and spectral features with sea ice. …”
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Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture by Abdennabi Morchid, Zafar Said, Almoataz Y. Abdelaziz, Pierluigi Siano, Hassan Qjidaa

“…MATLAB is used to simulate and visualize fuzzy membership functions, enabling optimized decision-making. …”
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Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters by LIU Yubing, LI Yiteng, LI Zhonghui, YIN Shan, JING Chao, LI Kai, LI Zhenxing, ZHAO Shenglei, LIU Chengfei

“…Additionally, a coalface collaborative management and control technology driven by edge computing was developed. On the cloud side, digital twin technology was applied for visual simulation, while coal mine major disaster safety situation analysis was conducted using Delphi theory and deep learning models. …”
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