Risk Assessment of Water and Sand Inrush in Mining under Thick Loose Layer Based on Comprehensive Weight-Cloud Model by Wenquan Zhang, Xintao Wu, Xunan Wu, Yu Lei, Jianli Shao, Zaiyong Wang

“…The comprehensive weight-cloud model assessment method is applied to the risk assessment of water and sand inrush in the 6311-2 working face in the sixth mining area of Baodian Coal Mine. …”
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Gradient Enhancement Techniques and Motion Consistency Constraints for Moving Object Segmentation in 3D LiDAR Point Clouds by Fangzhou Tang, Bocheng Zhu, Junren Sun

Subjects: “…LiDAR point cloud…”
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Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation by Daohan Cui, Pengfei Liu, Yunong Liu, Zhenqing Zhao, Jiang Feng

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Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

“…The combination of vehicles, the Internet, and cloud computing together to form vehicular cloud computing (VCC), vehicular edge computing (VEC), and vehicular fog computing (VFC) can facilitate the development of electric autonomous vehicles. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…Data tersebut diproses menggunakan salah satu model machine learning yaitu deep learning dengan membagi beberapa node yang telah terbentuk di lingkungan cloud computing dengan memanfaatkan library H2O. …”
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Data backup methods for mission-critical information systems by S. V. Shaytura, P. N. Pitkevich

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Information Retrieving Through Sensors for Smart Parking by Ibrahim Mekawy, Bardia Khalilian

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Autonóm repülő robotok alkalmazása vízelvezető csatornák felügyeletére (Using Autonomous Flying Robots to Monitor Canals) by Anita Szabó

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Impact energy release mechanism and debris cloud forming behavior of LaCeAlCo active amorphous spherical fragment by Jinbei Zhao, Bingwen Zhou, Bin Ya, Linggang Meng, Pengcheng Ju, Xingguo Zhang

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Removal of Direct Yellow 12 from Water Samples by Cloud Point Extraction Using Triton X-100 as Nonionic Surfactant by Shahnaz Abedi, Farzin Nekouei

“…A surfactant mediated cloud point extraction (CPE) procedure has been developed to remove color from wastewater containing direct yellow 12 (Chrysophenine G), using triton x-100 (TX-100) as nonionic surfactant. …”
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Using a region-specific ice-nucleating particle parameterization improves the representation of Arctic clouds in a global climate model by A. B. Gjelsvik, R. O. David, T. Carlsen, F. Hellmuth, S. Hofer, Z. McGraw, Z. McGraw, H. Sodemann, H. Sodemann, T. Storelvmo, T. Storelvmo

“…<p>Projections of global climate change and Arctic amplification are sensitive to the representation of low-level cloud phase in climate models. Ice-nucleating particles (INPs) are necessary for primary cloud ice formation at temperatures above approximately <span class="inline-formula">−</span>38 °C and thus significantly affect cloud phase and cloud radiative effect (CRE). …”
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The Wayqecha Amazon Cloud Curtain Ecosystem Experiment: A new experimental method to manipulate fog water inputs in terrestrial systems by Daniel B. Metcalfe, Darcy F. Galiano Cabrera, Luis Miguel Alvarez Mayorga, Roxana Sacatuma Cruz, Daniela Corrales Alvarez, Blanca Rosa Espinoza Otazu, Walter Huaraca Huasco, Jimmy R. Chambi, Maria E. Ezquerra, Beisit L. Puma Vilca, Mark Mulligan, Matthew A. Vadeboncoeur, Heidi Asbjornsen, Paulo R. L. Bittencourt, Aline B. Horwath, David C. Bartholomew

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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

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Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations by F. Hellmuth, T. Carlsen, A. S. Daloz, R. O. David, H. Che, T. Storelvmo

“…<p>Supercooled liquid-containing clouds (sLCCs) play a significant role in Earth's radiative budget and the hydrological cycle, especially through surface snowfall production. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft&#x2019;s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture by Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan

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Retracted: Power Operation Violation Identification Method Based on Point Cloud Data Preprocessing and Deep Learning under the Architecture of IoT by Journal of Electrical and Computer Engineering

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Comparison of blockchain vs. centralised IT infrastructure costs for food traceability: a Thai broiler supply chain case study by Suchit Pongnumkul, Patcharawadee Ittipornpaisarn, Suporn Pongnumkul

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Les facteurs de localisation d’un nouveau type d’établissements tertiaires : les datacentres by Henry Bakis

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Non-Invasive Techniques for Monitoring Cultural Heritage: Change Detection in Dense Point Clouds at the San Pietro Barisano Bell Tower in Matera, Italy by Carmen Fattore, Sara Porcari, Arcangelo Priore, Vito Domenico Porcari

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