Quantification of Forest Regeneration on Forest Inventory Sample Plots Using Point Clouds from Personal Laser Scanning by Sarah Witzmann, Christoph Gollob, Ralf Kraßnitzer, Tim Ritter, Andreas Tockner, Lukas Moik, Valentin Sarkleti, Tobias Ofner-Graff, Helmut Schume, Arne Nothdurft

“…To this end, 19 forest inventory plots were scanned with both a personal and a high-resolution terrestrial laser scanner (TLS) for reference purposes. The voxelated point clouds obtained from the personal laser scanner were converted into raster images, providing either the canopy height, the total number of filled voxels (containing at least one LiDAR point), or the ratio of filled voxels to the total number of voxels. …”
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Study of Visualization Modalities on Industrial Robot Teleoperation for Inspection in a Virtual Co-Existence Space by Damien Mazeas, Bernadin Namoano

“…This study proposes a VR-based teleoperation framework featuring a ‘Virtual Co-Existence Space’ and systematically investigates visualization modalities within it. We compared four interfaces (2D camera feed, 3D point cloud, combined 2D3D, and Augmented Virtuality-AV) for controlling an industrial robot. …”
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Visual Design of Landscape Architecture Based on High-Density Three-Dimensional Internet of Things by Jue Chen

“…They complete the construction of jdk environment, web server, Mongo DB server, MQTT server, JMS server, etc., on the cloud platform. Combined with the landscape, a set of test platforms was built to test the functions and performance indicators of the visualization system cloud platform. …”
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A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment by Yuezhong Wu, Xuehao Shen, Qiang Liu, Falong Xiao, Changyun Li

“…Aiming at the problems of complex systems with data source and cloud service center data transmission delay and untimely response, at the same time, in order to realize the perception, storage, and analysis of massive multisource heterogeneous data, a garbage detection and classification method based on visual scene understanding is proposed. …”
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Portable Technology to Measure and Visualize Body-Supporting Force Vector Fields in Everyday Environments by Ayano Nomura, Yoshifumi Nishida

“…The system integrates wearable force sensors, motion capture gloves, RGB-D cameras, and LiDAR-based environmental scanning to generate spatial maps of body-applied forces, overlaid onto point cloud representations of actual living environments. …”
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City2Twin: an open urban digital twin from data integration to visualization and analysis by B. P. Rafamatanantsoa, I. Jeddoub, A. Yarroudh, R. Hajji, R. Billen

“…Urban Digital Twins have gained significant interest in the urban and geospatial fields, enabling interactive visualization and advanced analysis of cities across various domains. …”
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USE OF CLOUD COMPUTING BY FUTURE MANAGERS: THE CASE OF PART-TIME STUDENTS OF MANAGEMENT AT ACADEMY OF PHYSICAL EDUCATION IN KATOWICE - POLAND by Luis Ochoa Siguencia, Gilberto Marzano, Damian Herman

“…Cloud computing as an emerging new computing paradigm for delivering computing services that relies on a number of existing technologies like the Internet, communication, grid computing, Web services, visualization, is been used frequently for training experiences and that is why investigate how they use the cloud, what is their experience and which one fits their expectations. …”
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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

“…The three-dimensional model of geographic elements serves as the primary medium for digital visualization. However, the original point cloud model is often vast and includes considerable redundant data, resulting in inefficiencies during the three-dimensional modeling process. …”
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Visual navigation and crop mapping of a phenotyping robot MARS-PhenoBot in simulation by Zhengkun Li, Rui Xu, Changying Li, Longsheng Fu

“…The workflow produced the 2D maps identifying crop and weed locations, as well as 3D models represented as point clouds for crop shapes and structures. Using this mapping workflow, the average crop localization error was measured at 6.4 cm, primarily caused by the visual odometry drift. …”
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The potential of HBIM for visualizing graphic analyses of heritage architecture: the bell tower of Valencia Cathedral by Concepción López González, Pablo Ariel Escudero, Jorge Luis García-Valldecabres

“…It incorporates a comparative study between theoretical models and the actual state extracted from point clouds generated by 3D laser scanning. All of this is aimed at deriving insights into the immediate visualization of the design process carried out by the master builder, as well as the variations experienced by the analyzed elements, both during the construction process and over their life cycle. …”
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Impact of Best Corrected Final Visual Acuity on the Performance of Intraocular Lens Power Calculations by Shammas HJ, Shammas MC, Bahr C, Sahota R, Hall B

“…Most of these patients are seniors and some of them present with concomitant retinal problems that limit the final visual acuity. Studies usually evaluate eyes that have achieved a vision of 0.30 LogMAR (20/40) or better. …”
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From the Cloud to the Ground. A Data-Driven Research to Build Informative Heritage about Data Centres’ Energy Footprint by Fabiola Papini, Francesca Valsecchi, Michele Mauri

“…The Internet is often perceived as an intangible and weightless service, as represented by the popular Cloud metaphor. This common belief has generated a knowledge gap in users’ minds: no correlation exists between digital activities and their footprint on our planet. …”
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Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation by Luda Zhao, Yihua Hu, Fei Han, Zhenglei Dou, Shanshan Li, Yan Zhang, Qilong Wu

“…However, due to the complex and distinct characteristics of LiDAR point cloud data from different platforms (such as missile‐borne and vehicular LiDAR data), directly applying traditional 2D visual domain DA methods to 3D data can lead to networks trained using this approach not robustly achieving the corresponding tasks. …”
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A digital intelligence visualization health monitoring device for Alzheimer’s disease patients based on WBAN technology by Minghong Zheng, Yi Wu, Changqing Weng

“…In the WBAN monitoring visualization group, we innovated a digital kit called AD-Cloud, which consists of a flexible wearable data collection and transmission device with a star topology, a progressive convolutional neural framework for remote data visualization with high arithmetic power, and an interactive mobile application. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…The constructed SDAE‒DT Net model effectively integrates features from sequences of varying time lengths within the data, enhancing the RUL prediction accuracy even under noise interference. Utilizing cloud data storage and processing, the developed three-dimensional visualized health condition monitoring system for anchor digging machines enables data interaction and real-time monitoring. …”
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PlastidHub: An integrated analysis platform for plastid phylogenomics and comparative genomics by Na-Na Zhang, Gregory W. Stull, Xue-Jie Zhang, Shou-Jin Fan, Ting-Shuang Yi, Xiao-Jian Qu

“…PlastidHub features cloud-based web applications that do not require users to install, update, or maintain tools; detailed help documents including user guides, test examples, a static pop-up prompt box, and dynamic pop-up warning prompts when entering unreasonable parameter values; batch processing capabilities for all tools; intermediate results for secondary use; and easy-to-operate task flows between file upload and download. …”
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Real‐world evidence in the cloud: Tutorial on developing an end‐to‐end data and analytics pipeline using Amazon Web Services resources by Wes Anderson, Roopal Bhatnagar, Keith Scollick, Marco Schito, Ramona Walls, Jagdeep T. Podichetty

“…This article provides a blueprint for establishing an end‐to‐end data and analytics pipeline in a cloud‐based environment. The pipeline presented here includes four major components, including data ingestion, transformation, visualization, and analytics, each supported by a suite of Amazon Web Services (AWS) tools. …”
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Bibliometric analysis of scientific research on repeat visit intention in tourism using visual mapping technique by Félix Díaz-Pompa, Gül Erkol Bayram, Beatriz Vega-Pérez, Beatriz Serrano-Leyva, Hatice Sarı Gök, Ali Turan Bayram

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Detection of Forest Removal in PRODES Mata Atlântica: Discussion on the Transition from Visual to Semiautomatic Interpretation by Felipe de Oliveira Passos, Bruno Vargas Adorno, Rodrigo Silva do Carmo, Carla Mourão, Silvana Amaral

“…We highlight the benefits of transitioning from Landsat series to high spatial resolution Sentinel-2 images, and the combination of Sentinel-2 and Sentinel-1 data to improve visualization in some areas where the landscape is impaired due to clouds. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. …”
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