Using LiDAR Data to Assess the Character of Landscape in the Suburban Zone of Poznań by Anna Dudzińska, Anna Gałecka-Drozda, Barbara Szpakowska

“…They were used to identify 16 landscape units of different characters, was determined according to specific elements of landscape, scenic connections and composition. The units were visualized by means of a point cloud. The spatial model of the landscape enabled definite delimitation of individual landscape units, which supplemented field investigations. …”
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4D Radar Imaging and Camera Fusion for Road Crossing Detection and Classification Using Deep Learning by Liyaana Shahirah Wan Abd Aziz, Farah Nadia Mohd Isa, Faridah Abd Rahman, Arvind Hari Narayanan, Ahmad Reza Alghooneh, George Shaker

“…The fusion of radar point cloud data with visual sensor data proved effective, showing strong results in distinguishing target types. …”
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BIM-GIS Integration for Interactive, Open and Low-Cost 3D Land Use Registration and Urban Neighbourhood Management by Dimitra Andritsou, Chryssy Potsiou

“…This paper is part of an on-going research study on developing a low-cost and approachable methodology for f-f-p, transparent and future inclusive 3D land use management for an urban neighbourhood by constructing a homogenous, open, cloud-based and free-to-use virtual BIM-GIS geospatial infrastructure. …”
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Application of dunhuang decorative tile elements in children's furniture based on symbolic duality and D4S Theory by Ning Li, Jing Zhang, Jiahang Chen

“…Utilizing semiotic analysis, it systematically examines four traditional Dunhuang motifs—A2 (Eight-Petaled Lotus with Cloud-Head Motif), A7 (Linked Gem with Twining Grass Pattern), A9 (Peach-Heart Twelve-Petaled Lotus Pattern), and A10 (Ruyi Pattern)—and extracts their core visual and cultural components. …”
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A Robust Approach to Vision-Based Terrain-Aided Localization by Dan Navon, Ehud Rivlin, Hector Rotstein

“…Anchoring is achieved by matching the point cloud to the terrain using ray-tracing and a variation of the iterative closest point method. …”
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Research on Multimodal Control Method for Prosthetic Hands Based on Visuo-Tactile and Arm Motion Measurement by Jianwei Cui, Bingyan Yan

“…Therefore, we first used a pinhole camera to construct a visual device suitable for finger mounting, and preclassified the shape of the object based on YOLOv8; then, a filtering process using multi-frame synthesized point cloud data from miniature 2D Lidar, and DBSCAN algorithm clustering objects and the DTW algorithm, was proposed to further identify the cross-sectional shape and size of the grasped part of the object and realize control of the robot’s grasping gesture; finally, a multimodal perception and control method for prosthetic hands was proposed. …”
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Experimental Investigation on the Influence of the Location of Sand Mining on the Local Scour Characteristics of Bridge Piers by WU Wei, CAI Huiyi, WANG Hao, FU Dabao, CHEN Zetong, YAO Jiateng

“…Based on the matching feature points, the sparse point cloud and dense point cloud of the model are obtained in turn. …”
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3D Reconstruction of the Human Colon From Capsule Endoscope Video by Pal Anders Floor, Ivar Farup, Marius Pedersen

“…Further, to reconstruct the gastrointestinal wall surface from resulting point clouds, which vary greatly in density, Poisson surface reconstruction is a good option. …”
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Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) by Hiliah Firda, Pacu Putra, Nabila Rizky Oktadini, Putri Eka Sevtiyuni, Allsela Meiriza

“…The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. The findings indicate that the Rating-Based labeling method achieved an accuracy of 87%, with a precision of 86.7%, recall of 87.1%, and an F1-score of 86.8%. …”
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Development of real-time Internet of Things motion detection platform applying non-contact sensor based on open source hardware by Jung Woo Kim, Sang Hun Sul, Jae Boong Choi

“…The administrator’s display continuously analyzes real-time moving objects by detecting them with respect to location coordinates and providing automatically recognized data to the cloud server. In addition, real-time Internet of Things motion detection monitoring system was configured to quickly respond to real-time alerts and effectively manage problems. …”
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Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System by Chengcheng Hou, Yongfei Kang, Tiezhu Qiao

“…Compared with existing methods, the proposed approach shows advantages in point cloud completeness, reconstruction accuracy, and environmental adaptability, providing reliable technical support for intelligent monitoring of bulk material transportation systems.…”
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Analysis of Doline Microtopography in Karst Mountainous Terrain Using UAV LiDAR: A Case Study of ‘Gulneomjae’ in Mungyeong City, South Korea by Juneseok Kim, Ilyoung Hong

“…UAV LiDAR data were acquired using the DJI Matrice 300 RTK equipped with a Zenmuse L2 sensor, enabling high-density point cloud generation (98 points/m²). The point clouds were processed to remove non-ground points and generate a 0.25 m resolution DEM using TIN interpolation. …”
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Leveraging Neural Radiance Fields for Large-Scale 3D Reconstruction from Aerial Imagery by Max Hermann, Hyovin Kwak, Boitumelo Ruf, Martin Weinmann

“…We evaluate three approaches: Mega-NeRF, Block-NeRF, and Direct Voxel Grid Optimization, focusing on their accuracy and completeness compared to ground truth point clouds. In addition, we analyze the effects of using multiple sub-modules, estimating the visibility by an additional neural network and varying the density threshold for the extraction of the point cloud. …”
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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

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A web-based machine learning framework for building energy efficiency prediction by B.S.S.V. Ramana, S. Chanikya Kumar, N. Bharath Kumar, Attuluri R. Vijay Babu

“…The system supports real-time web-based predictions with visual diagnostics, user feedback mechanisms, and is designed for future integration of dynamic inputs like weather and occupancy, supporting model update mechanisms, and expanding deployment on scalable cloud platforms for broader adoption in sustainable design workflows.…”
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Can non-human primates extract the linear trend from a noisy scatterplot? by Lorenzo Ciccione, Thomas Dighiero-Brecht, Nicolas Claidière, Joël Fagot, Stanislas Dehaene

“…Although this capacity looks sophisticated, it may simply reflect the extraction of the principal trend of the graph, as if the cloud of dots was processed as an oriented object. …”
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Simulation and Assessment of Vertical Scaling for a Smart Campus Environment Using the Internet of Things by Mirza Abdur Razzaq, Javed Ahmad Mahar, Arif Mehmood, Gyu Sang Choi, Imran Ashraf

“…This study presents a new scalability categorization, comprising the device layer, gateway layer, communication layer, and server/cloud layer. Furthermore, the transport system of the smart campus is assessed and analyzed at the server layer using a custom-based simulator created in Visual Studio. …”
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Universal Metrics to Characterize the Performance of Imaging 3-D Measurement Systems With a Focus on Static Indoor Scenes by Bastian Stahl, Alexandra Mielke, Robert Lange

“…In this work, we introduce a simple, universal methodology for quantitatively characterizing indirect time-of-flight cameras, focusing on point cloud data acquired under reproducible conditions. …”
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Privacy Centric Offline Chatbot using Large Language Models by K. Anjali, K. Vipunsai, K. Ruchitha, M. Bhavani, Ch. China Subba Reddy

“…Many current solutions depend on cloud-based models, which need internet connectivity. …”
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Agricultural greenhouses datasets of 2010, 2016, and 2022 in China by Yan Sun, Yuyun Zhang, Jian Hao, Jiang Li, Hengjun Ge, Feifei Jiang, Junna Liu, Xueqing Dong, Jiayuan Guo, Zhanbin Luo, Fu Chen

“…This study aimed to propose a method for identifying agricultural greenhouse spectral and texture information based on key growth stages using the Google Earth Engine (GEE) cloud platform, Landsat 7 remote sensing images, and combined field surveys and visual interpretation to collect a large number of samples. …”
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