Enhancing LiDAR Data Positioning Accuracy in National Forest Surveys through Multi-Source Point Cloud Matching in Terrasolid software by A. Shcherbacheva, A. Puttonen, A. Soininen

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Surface Soil Moisture Estimation Taking into Account the Land Use and Fractional Vegetation Cover by Multi-Source Remote Sensing by Rencai Lin, Xiaohua Xu, Xiuping Zhang, Zhenning Hu, Guobin Wang, Yanping Shi, Xinyu Zhao, Honghui Sang

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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

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Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

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Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization by Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.

“…Cloud computing is susceptible to a wide range of security issues since it is decentralized. …”
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Multi-source data joint processing framework for DEM calibration and fusion by Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen

“…For fusion, our DEM fusion model (DemFusion) employs spatial autocorrelation analysis and KD-Tree clustering to compute optimal fusion weights, effectively integrating complementary elevation information from multiple DEM sources. …”
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Optimizing encrypted search in the cloud using autoencoder-based query approximation by Mahmoud Mohamed, Khaled Alosman

“…Our work is comprehensively benchmarked against alternative methods to quantify gains. The open-source implementation enables further research into optimized neural encrypted search. …”
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Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

“…However, the diversity and complexity of the dune morphology present significant challenges when using traditional classification methods, particularly in feature extraction, model parameter optimization, and large-scale mapping. This study focuses on the Gurbantünggüt Desert in China, utilizing the Google Earth Engine (GEE) cloud platform alongside multi-source remote sensing data from Landsat-8 (30 m) and Sentinel-2 (10 m). …”
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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Although passive remote sensing offers broad coverage and high temporal resolution, sensor and algorithmic limitations impede the accurate depiction of cloud vertical profiles. To improve estimates of their key structural parameters, e.g., cloud top height (CTH) and cloud vertical extent (CVE), we propose a multi-source collaborative optimization algorithm. …”
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Memory Monitoring Recognition Test (MMRT), a new measurement of stimular source monitoring: Software and comprehension. by Pedro C Martínez-Suárez, José Alejandro Valdevila Figueira, Joselyn M Luna-Cambi, Carlos E Guerrero-Granda, Rocío Valdevila Santiesteban

“…<h4>Background</h4>Reality monitoring allows the evaluation and monitoring of reality through the assignment of information to internal or external sources, which is crucial to differentiate real events from imaginary ones. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

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Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model by R. J. Herbert, A. Sanchez-Marroquin, A. Sanchez-Marroquin, D. P. Grosvenor, D. P. Grosvenor, K. J. Pringle, S. R. Arnold, B. J. Murray, K. S. Carslaw

“…Here we use the UK Earth System Model to simulate the global distribution of dust, marine-sourced, and black carbon INPs suitable for immersion-mode freezing of liquid cloud droplets over an annual cycle. …”
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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…Additionally, using multi-source remote sensing data, dynamic population vulnerability, and flood hazard processes, a quantitative dynamic flood risk analysis is conducted based on cloud models. …”
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Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle by Shuchen Xu, Kedong Zhao, Yongrong Sun, Xiyu Fu, Kang Luo

“…Simultaneously, by continuously introducing matching constraints of real-time point cloud and prior VPCM through improved iterative closest point matching method, the proposed solution can effectively suppress the drift error of the odometry and output accurate fusion localization results based on pose graph optimization theory. …”
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Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition. by Mengyuan Yan, Xingyu Yang, Wei Gao, Lifan Rong, Shengbo Li, Yuan Xiong

“…This study proposes a ground-air collaborative multi-source detection system that integrates 3D light detection and ranging (LiDAR)-based point cloud imaging and deep learning-driven intrusion detection. …”
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Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay by Wei Zhang, Hui Miao

“…Aiming at reducing flexibility shortage brought by delay, we propose a modified flexibility scheduling strategy based on cloud-edge collaboration. Compared with traditional strategy, centralized optimization is replaced by distributed optimization to consider both economic efficiency and effect of delay. …”
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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…Preprocessing included noise removal, resolution reduction to 2 cm, and ground/non-ground separation using the Cloth Simulation Filter (CSF), resulting in Bare Earth (BE), Digital Terrain Model (DTM), and Above Ground (AG) point clouds. The optimized BE layer, enriched with intensity and color information, enabled crack detection through Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Random Forest (RF) classification, with and without intensity normalization. …”
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Multi-agent Coordination and Optimal Dispatch of Microgrid with CES Based on Ecological Game by Xianshan LI, Aobo CHEN, Shan CHENG, Minrui CHEN

“…The simulation results show that the cloud energy storage service optimizes the load curve, reduces the electricity cost, and cloud energy storage operators also gain benefits, achieving a multi-party win-win effect.…”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…In addition, it conducts in-memory sample data discovery and integration across clouds supported by a virtual distributed storage system to sufficiently leverage the multi-source remote sensing sample datasets from platforms with limited interoperability.Results:The comparative performance experiments have confirmed the effectiveness and efficiency of this approach. …”
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Green Video Transcoding in Cloud Environments Using Kubernetes: A Framework With Dynamic Renewable Energy Allocation and Priority Scheduling by B. M. Beena, Prashanth Cheluvasai Ranga, A. Vinitha Chowdary, Rohan Gamidi, M. Hemasri, Tejaswi Muppala

“…The research addresses these challenges by developing a green, energy-aware video transcoding system that predicts energy availability from renewable sources (solar and wind) using machine learning techniques and optimizes tasks allocation. …”
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