DMDiff: A Dual-Branch Multimodal Conditional Guided Diffusion Model for Cloud Removal Through SAR-Optical Data Fusion by Wenjuan Zhang, Junlin Mei, Yuxi Wang

“…Synthetic aperture radar (SAR), with its all-weather, all-day observation capabilities, serves as a valuable auxiliary data source for cloud removal (CR) tasks. Despite substantial progress in deep learning (DL)-based CR methods utilizing SAR data in recent years, challenges remain in preserving fine texture details and maintaining image visual authenticity. …”
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Cloud-based modeling for precision light regulation and energy efficiency optimization in hydroponic leafy vegetable production systems in plant factory by Daixuan Qu, Guohua Gao, Zihua Zhang, Zhenjiang Zhu, Junshuo Cong

“…Using lettuce as a model crop, we developed a cloud-based framework for precision light regulation and energy efficiency optimization. …”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…The results of the study represent the development of algorithms for a cellular automation model for the visual forecasting of a dangerous zone. They are characterized by taking into consideration the rules for filling the dispersion ellipse, as well as determining the effects of interaction with obstacles, which allows for a more accurate mathematical description of the spread of a cloud of toxic combustion products in densely built-up areas. …”
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Visual analysis of research trends and hotspots in wearable electronic devices in the medical field: A bibliometric study by Ni Zhang, Yanyang Peng, Qing Guo

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AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines [version 1; peer review: 2 approved] by Sean Davis, Marcel Ramos, Michael C. Schatz, Kai Gravel-Pucillo, Levi Waldron, Sehyun Oh, Martin Morgan, Vincent Carey

“…The Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) provides a cloud-based platform for democratizing access to large-scale genomics data and analysis tools. …”
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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…Manual visual interpretation is often time-consuming, inefficient, and does not provide spatially continuous information about the structure. …”
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A Multi-Sensor Fusion Approach Combined with RandLA-Net for Large-Scale Point Cloud Segmentation in Power Grid Scenario by Tianyi Li, Shuanglin Li, Zihan Xu, Nizar Faisal Alkayem, Qiao Bao, Qiang Wang

“…This integration enables the construction of a colored point cloud dataset with rich visual and geometric features. …”
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DyGS-SLAM: Realistic Map Reconstruction in Dynamic Scenes Based on Double-Constrained Visual SLAM by Fan Zhu, Yifan Zhao, Ziyu Chen, Chunmao Jiang, Hui Zhu, Xiaoxi Hu

“…Visual SLAM is widely applied in robotics and remote sensing. …”
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Elucidating Interpersonal Cardiac Synchrony During a Naturalistic Social Interaction Using Dyadic Poincaré Plot Analysis by Karly S. Franz, Sanaz Rezaei, Tom Chau

“…We introduce dyadic Poincaré plot analysis (dPPA) as tool for both visualizing and quantifying interpersonal cardiac synchrony over time. …”
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A Software Tool for ICESat and ICESat-2 Laser Altimetry Data Processing, Analysis, and Visualization: Description, Features, and Usage by Bruno Silva, Luiz Guerreiro Lopes

“…This paper presents a web-based software tool designed to process, analyze, and visualize satellite laser altimetry data, specifically from the Ice, Cloud, and land Elevation Satellite (ICESat) mission, which collected data from 2003 to 2009, and ICESat-2, which was launched in 2018 and is currently operational. …”
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction by Lin Yue, Peng Wang, Jinchao Mu, Chen Cai, Dingyi Wang, Hao Ren

“…High-precision vertex coordinates of kilometer posts are obtained by jointly using LiDAR point cloud and an image detection box. Next, a kilometer post factor is constructed, and multi-source information is optimized within a factor graph framework. …”
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BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…Three-dimensional (3D) visual perception is pivotal for understanding surrounding environments in applications such as autonomous driving and mobile robotics. …”
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Coupling Relationship Between Tourists’ Space Perception and Tourism Image in Nanxun Ancient Town Based on Social Media Data Visualization by Mengyan Jia, Jian Chen, Yile Chen, Yijin Ge, Liang Zheng, Shuai Yang

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PAVEMENT CONDITION ASSESSMENT USING LIDAR AND ARCGIS: AN EXPERIENCE FROM MALAYSIA by Babak GOLCHIN, Muhammad Aiman Badrish RAFFI, Nur Zarifah ZAKARIA, Noor Halizah ABDULLAH

“…Simultaneously, manual visual inspections were conducted, and defects were documented. …”
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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication by Zhihua Gan, Shiping Song, Lin Zhou, Daojun Han, Jiangyu Fu, Xiuli Chai

“…Finally, the IWT-M-embedding algorithm is used to embed shadow images into carrier images to get multiple visually meaningful cipher images. Additionally, a new authentication scheme based on bit-level cyclic shifts and dynamic combination (AS-BCSDC) is introduced, and the obtained authentication information is fused into cipher images to prevent the deception of illegal users and malicious tampering of cloud platform. …”
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An ensemble method for cloud mask calculation based on data from the AHI instrument onboard the Himawari-8/9 satellite using convolutional neural networks by A.I. Andreev, S.I. Malkovsky, M.O. Kuchma, Y.A. Shamilova

“…The paper explores a method for calculating a cloud mask based on the use of several convolutional neural network classifiers trained for various observation conditions using a bootstrapping method. …”
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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…The system was designed with a multi-layer architecture, including a perception layer (real-time collection of deformation data) and a network layer (using a robot to carry a data acquisition terminal and transmit data to a cloud server through wireless communication technology), platform layer (using cloud computing and big data technology to store, process, and analyze collected data), and application layer (visualization platform, convenient operation, and analysis of data). …”
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A Cloud Model-Based Evaluation of Renovation Decisions for Old Urban Communities from the Perspective of Resilience—A Case Study of a Community in Nanjing, China by Xisheng Li, Xiang Zhang, Jiaying Zhang

“…Furthermore, vague set theory is applied to reduce the initial evaluation index system; then, entropy weight and the g1 method are used to determine objective and subjective weights, respectively, before determining the combination weight value. And the cloud model comprehensive evaluation method is applied to determine the membership degrees of resilience levels for the indicator, sub-criteria, criteria, and target layer in sequence. …”
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Transforming bridges into smart infrastructure: a data-driven approach to monitoring bats and promoting sustainable coexistence by Jacob Koch, Jess Kropczynski, Janette Perez-Jimenez, Joseph S. Johnson

“…Furthermore, we developed a map- and cloud-based dashboard to integrate this ecological data with existing bridge metadata, transforming raw sensor data into actionable insights for transportation authorities. …”
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Navigation Map Construction Based on Semantic Segmentation and Multi-Submap Integration by Gang Li, Chen Huang, Jian Yu, Hao Luo

“…Traditional visual simultaneous localization and mapping (SLAM) systems typically generate sparse or semi-dense point cloud maps, which are insufficient for effective navigation and path planning. …”
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