Efficiency Simultaneous key Exchange-Cryptography Extraction from Public key in Fog-Cloud Federation-Based Secure Offloading for Automatic Weather Stations Observing Systems by Yashar Salami, Vahid Khajehvand, Esmaeil Zeinali

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A satellite-based analysis of semi-direct effects of biomass burning aerosols on fog and low-cloud dissipation in the Namib Desert by A. Mass, A. Mass, H. Andersen, H. Andersen, J. Cermak, J. Cermak, P. Formenti, E. Pauli, E. Pauli, J. Quinting

“…Each year, between June and October, absorbing biomass burning aerosols (BBAs) overlie the stratocumulus clouds in the adjacent Southeast Atlantic. In some synoptic settings, this layer of BBAs reaches Namibia and its desert, where it interacts with coastal fog and low clouds (FLCs). …”
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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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Spot Price Prediction of Resources in Cloud Computing by Proposing a New Structure in Deep Learning Method Considering the Level of QOS by Seyed soroush Nezamdoust, Mohammad Ali Pourmina, Farbod Razzazi

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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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Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network by Haining MENG, Xinyu TONG, Yuekai SHI, Lei ZHU, Kai FENG, Xinhong HEI

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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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USE OF INTELLEGENT AND BLOCK CHAIN TECHNOLOGIES IN INFORMATION MANAGEMENT Minsk Innovation University by U. A. Vishniakou

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Cloud-Point Extraction Combined with Liquid Chromatography for the Determination of Ergosterol, a Natural Product with Diuretic Activity, in Rat Plasma, Urine, and Faeces by Dan-Qian Chen, Jun-Min An, Ya-Long Feng, Ting Tian, Xiang-Yang Qin, Ying-Yong Zhao

“…A new method based on cloud-point extraction has been developed, optimized and validated for the determination of ergosterol in rat plasma, urine and faeces by liquid chromatography. …”
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Predictive method for poultry carcass visceral dimensions using 3D point cloud and Genetic Algorithm-based wavelet neural network by Zhengwei Zhu, Yan Chen, Lu Cai, Jinzhou Yang, Ke Wen, Jingjing Bao, Zhigang Hu, Dandan Fu

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A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments by S. Bharath Babu, K. R. Jothi

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A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments by Jakkarin Lapmoon, Somchart Fugkeaw

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Cloud Point Extraction of Toxic Reactive Black 5 Dye from Water Samples Using Triton X-100 as Nonionic Surfactant by Raziyeh Mousavi, Farzin Nekouei

“…A surfactant mediated cloud point extraction (CPE) procedure has been developed to remove color from wastewater containing reactive black 5, using triton x-100 (TX-100) as non-ionic surfactant. …”
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Hierarchical Optimization Segmentation and Parameter Extraction of Street Trees Based on Topology Checking and Boundary Analysis from LiDAR Point Clouds by Yuan Kou, Xianjun Gao, Yue Zhang, Tianqing Liu, Guanxing An, Fen Ye, Yongyu Tian, Yuhan Chen

Subjects: “…LiDAR point clouds…”
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