Proximal LiDAR Sensing for Monitoring of Vegetative Growth in Rice at Different Growing Stages by Md Rejaul Karim, Md Nasim Reza, Shahriar Ahmed, Kyu-Ho Lee, Joonjea Sung, Sun-Ok Chung

“…Further advances in point cloud filtering and classification are required to reliably capture such variability.…”
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A Comparison of Geminid Models with the PSP/WISPR-observed Phaethon Dust Trail by Karl Battams, Galina O. Ryabova, Angel J. Gutarra-Leon, Jamey R. Szalay, Brendan M. Gallagher, Wolf Cukier

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Content Analysis of Comics on Line Webtoon by Sintiya Putri Nurohmah, Ghina Fikriya Putri, Khaerudin Imawan, Aghnia Dian Lestari

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A Non-Contact Privacy Protection Bed Angle Estimation Method Based on LiDAR by Yezhao Ju, Yuanji Li, Haiyang Zhang, Le Xin, Changming Zhao, Ziyi Xu

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DeepDR: A Two-Level Deep Defect Recognition Framework for Meteorological Satellite Images by Xiangang Zhao, Xiangyu Chang, Cunqun Fan, Manyun Lin, Lan Wei, Yunming Ye

“…To evaluate the effectiveness of DeepDR, we have collected and released two satellite cloud image datasets from the FengYun-1 satellite, which include noise points and lines. …”
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Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification by P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik

“…It was then further implemented on cloud infrastructure, guaranteeing scalability and availability. …”
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Three-Dimensional Environment Mapping with a Rotary-Driven Lidar in Real Time by Baixin Tong, Fangdi Jiang, Bo Lu, Zhiqiang Gu, Yan Li, Shifeng Wang

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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

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A quick response data collection and management system for digital twin production line based on cloud-fog-edge computing collaboration [version 1; peer review: 2 approved, 1 appro... by Xuesong Mei, Zhiyuan Li, Zheng Sun, Jun Xu, Dawei Zhang

“…Methods A production line data collection, storage, and management system based on cloud-fog-edge computing collaboration and a digital twin was designed. …”
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Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model by Sejong Ahn, Museong Choi, Jongjin Lee, Jinseok Kim, Sungtaek Chung

“…The radar sensors generate Point Cloud data (the spatial coordinates, velocity, Doppler power, and time), which allow analysis of the body position and movement. …”
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What Is the Best Solution for Smart Buildings? A Case Study of Fog, Edge Computing and Smart IoT Devices by Mauro Chiozzotto, Miguel Arjona Ramírez

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Architecture Design and Product Development of Meteorological Forecast for General Aviation Technology in Inner Mongolia by Hang Yuehe, Jiang Xuegong, Yang Zehua, Xu Yanqin, Hasitamuga, Lin Hongjie, Zhen Linfeng, Ma Hongwei, Zhang Min, Shi Linshengjie

“…Forecast products and technical methods are systematically introduced, which mainly consist of airport refined elements forecasts including 1-h forecasts of wind, visibility, cloud cover, and temperature over a 72-h period, as well as estimations of visual obstacles such as precipitation and sand-dust. …”
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The Integration of Geospatial Data for the BIM-Based Inventory of a Skatepark—A Case Study by Przemysław Klapa, Maciej Małek

“…Leveraging the integrated point cloud and photographic data aids in identifying elements and construction materials, facilitating the creation of detailed technical documentation and life-like visualizations. …”
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Bridge Geometric Shape Measurement Using LiDAR–Camera Fusion Mapping and Learning-Based Segmentation Method by Shang Jiang, Yifan Yang, Siyang Gu, Jiahui Li, Yingyan Hou

“…The main contributions include the following: (1) A synchronized LiDAR–camera fusion system integrated with an unmanned aerial vehicle (UAV) and a microprocessor was developed, enabling the flexible and large-scale acquisition of bridge images and point clouds; (2) A multi-sensor fusion mapping method coupling visual-inertial odometry (VIO) and Li-DAR-inertial odometry (LIO) was implemented to construct 3D bridge point clouds in real time robustly; and (3) An instance segmentation network-based approach was proposed to detect key structural components in images, with detected geometric shapes projected from image coordinates to 3D space using LiDAR–camera calibration parameters, addressing challenges in automated large-scale point cloud analysis. …”
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The Application of Three Dimensional Digital Technologies in Historic Gardens and Related Cultural Heritage: A Scoping Review by Fangming Li, Cristiana Achille, Giorgio Paolo Maria Vassena, Francesco Fassi

“…Using bibliometric methods and visualization tools, followed by a case study review, this review identified significant research hotspots and technical methodologies, particularly focusing on advanced techniques such as mobile laser scanning, UAV photogrammetry, and point cloud processing and their relationships with end users. …”
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A Method for the 3D Reconstruction of Landscape Trees in the Leafless Stage by Jiaqi Li, Qingqing Huang, Xin Wang, Benye Xi, Jie Duan, Hang Yin, Lingya Li

“…Finally, the 3D reconstructed point cloud was used to generate the QSM and extract tree feature parameters to verify the accuracy of the reconstructed model. …”
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Andean pre-Hispanic pottery forming 3D analysis: a pilot study from Quebrada de Humahuaca (Argentina) using digital methods by Agustina Scaro

“…The workflow used to contrast this hypothesis included the generation of a 3D model by close-range photogrammetry; and the analysis of the resulting point-cloud and mesh using Morphological Residue Model (MRM) and Virtual Reflectance Transformation Imaging Visualization (V-RTI), with diverse open-source software packages, such as AliceVision Metashape and CloudCompare. …”
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Exploiting 2D Neural Network Frameworks for 3D Segmentation Through Depth Map Analytics of Harvested Wild Blueberries (<i>Vaccinium angustifolium</i> Ait.) by Connor C. Mullins, Travis J. Esau, Qamar U. Zaman, Ahmad A. Al-Mallahi, Aitazaz A. Farooque

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Substation Modelling and Network Security Monitoring Based on Scene Replication Technology by Xiaohu WANG, Guangxin Guo, Jiahan DONG, Lei WANG, Can CAO

“…For power equipment objects, the local geometric dominant subspace of point cloud data is extracted to realize fast data processing, improve the data quality and estimate the point cloud normal vector. …”
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TOPSIS model with combination weight for demand assessment of flood emergency material supplies by Bingbing Xu, Wenguang Yang, Lanxiang Yi, Dekun Kong, Ruitian Liu

“…Then this paper combines these calculated weights on the basis of maximizing deviation, and the technique for order preference by similarity to an ideal solution (TOPSIS) method is used to judge the demand urgency of disaster sites. Finally, a cloud model is introduced to visualize the urgency evaluation results obtained from the single weighting method and the combination weighting method by generating cloud maps. …”
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