Authentication and Encryption algorithms for data security in Cloud computing: A comprehensive review by Thanh Ngoc Nguyen, Thien T. T. Le

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Retracted: Computer Simulation of Ideological and Political Teaching under Big Data of Complexity by null Complexity

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Integrating brain-inspired computation with big-data analytics for advanced diagnostics in neuroradiology by Senthil Kumar, J. Ramprasath, V. Kalpana, Manikandan Rajagopal, Maheswaran S, Rupesh Gupta

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A Cloud-Computing-Based Data Placement Strategy in High-Speed Railway by Hanning Wang, Weixiang Xu, Futian Wang, Chaolong Jia

“…As an important component of China’s transportation data sharing system, high-speed railway data sharing is a typical application of data-intensive computing. …”
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From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI by Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi, Antonio Puliafito

“…This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. …”
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A Security and Privacy Aware Computing Approach on Data Sharing in Cloud Environment by Mustafa Azeez AL Mayyahi, Seyed Amin Hosseini Seno

“… Today, the role of cloud computing in our day-to-day lives is very prominent. …”
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Bone quality in patients with chronic osteomyelitis of the foot according to computed tomography data by G. V. Diachkova, Yu. L. Mitina, N. M. Klyushin, S. M. Aleksandrov, T. A. Larionova, A. G. Mikhailov

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Data Clustering Methods for Recognition of Endoscopic Images in the Problems of Computer Medical Diagnosis by R. V. Kozar, N. S. Konoiko, A. A. Navrotsky

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Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality by Sofie J Studholme, Joshua B Mallinson, Jamie K Steel, Simon A Brown

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A computationally tractable birth-death model that combines phylogenetic and epidemiological data. by Alexander Eugene Zarebski, Louis du Plessis, Kris Varun Parag, Oliver George Pybus

“…In mathematical epidemiology, estimates are often informed by time series of confirmed cases, while in phylodynamics genetic sequences of the pathogen, sampled through time, are the primary data source. Each type of data provides different, and potentially complementary, insight. …”
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The risk of abdominal aortic aneurysm rupture prediction according to computed tomography data by D. Z. Tutova, R. Sh. Muslimov, L. S. Kokov, L. T. Khamidova, I. P. Mikhailov

“…The assessing scale of the abdominal aortic aneurysm rupture’s risk according to computed tomography data was developed.…”
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Behavior of Sports Tourism Consumers Based on Cloud Computing and Mobile Big Data by Huizhen Wan

“…Then, the definition and characteristics of cloud computing and mobile big data are elaborated. Next, this paper selects some consumers and their consumption behaviors participating in X city’s sports tourism town, golf sports tourism, skiing sports tourism, and outdoor sports tourism projects as the research objects and conducts investigation and research by means of questionnaires and interviews. …”
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CLOUD COMPUTING AND BIG DATA AS CONVERGENT TECHNOLOGIES FOR RETAIL PRICING STRATEGIES OF SMEs by George SUCIU, Gyorgy TODORAN, Adelina OCHIAN, Victor SUCIU, Janna CROPOTOVA

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Heuristic genetic algorithm of computational pipelines optimization by A. A. Prihozhy, A. M. Zhdanouski, O. N. Karasik, M. .. Mattavelli

Subjects: “…data flow…”
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Forestry Plans as the Source of Environmental Data for the Analysis of Bird Community Composition by Jakub Šimurda, Petr Šmilauer, Roman Fuchs

“…Forest management plans offer valuable data on forest species composition and structure, useful for large-scale bird conservation. …”
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Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

“…BackgroundBatch effects refer to data variations that arise from non-biological factors such as experimental conditions, equipment, and external factors. …”
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Data-driven Oxidation Kinetic Model Construction of Silicon Carbide Composites by Xiao Manyu, Zheng Wenqing, Luan Xingang, Xu Xinming

“…However, the material's inherent inhomogeneity, nonlinearity, anisotropy, and diverse failure modes make the damage and failure mechanisms of SiCf/SiC composites highly complex. This research integrates experimental methods with intelligent data analysis techniques to accurately characterize and predict the oxidation behavior and mechanical property evolution of SiCf/SiC composites under complex service conditions. …”
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Research progress in data-driven constitutive modeling of composite solid propellants by Bin Yuan, Hongfu Qiang, Chunguo Yue

“…Against this backdrop, this paper reviews the research on data-driven constitutive modeling of composite solid propellants. …”
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Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…This paper focuses on developing a data-driven approach for predicting the degree-of-cure curve. …”
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On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios by Charanjit K. Khosa, Veronica Sanz

“…We study the impact of Run 2 LHC data on general composite Higgs scenarios, where nonlinear effects, mixing with additional scalars, and new fermionic degrees of freedom could simultaneously contribute to the modification of Higgs properties. …”
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