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    Input/Output Library for Higher-Order Computational Fluid Dynamics Data by Rayan Dhib, Vatsalya Sharma, Andrea Lani, Stefaan Poedts

    Published 2024-12-01
    “…This paper introduces the Computational Fluid Dynamics High-Order Writer Library (CFD-HOWL), which performs I/O operations on solution data from high-order CFD simulations. …”
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  3. 123

    Unlocking Wheat Drought Tolerance: The Synergy of Omics Data and Computational Intelligence by Marlon‐Schylor Le Roux, Karl J. Kunert, Christopher A. Cullis, Anna‐Maria Botha

    Published 2024-11-01
    “…Nonetheless, literature indicates significant progress in all omics fields, with large amounts of potentially informative omics data being produced daily. Despite this, it remains questionable whether the reported big datasets have met food security expectations, as translating omics data into pre‐breeding initiatives remains a challenge, which is likely due to data accessibility or reproducibility issues, as interpreting omics data poses big challenges to plant breeders. …”
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    Machine learning and data-driven methods in computational surface and interface science by Lukas Hörmann, Wojciech G. Stark, Reinhard J. Maurer

    Published 2025-07-01
    “…Here, we review how data-driven methods and machine learning approaches complement simulation workflows and contribute towards tackling grand challenges in computational surface science from 2D materials to interface engineering and electrocatalysis. …”
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    Computational eco‐systems biology in Tara Oceans: translating data into knowledge by Shinichi Sunagawa, Eric Karsenti, Chris Bowler, Peer Bork

    Published 2015-05-01
    “…Graphical Abstract The computational analysis of the data collected by Tara Oceans represents a formidable challenge that will push the boundaries of our understanding of ecosystems at a planetary scale.…”
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    Assure deletion supporting dynamic insertion for outsourced data in cloud computing by Changsong Yang, Yueling Liu, Xiaoling Tao

    Published 2020-09-01
    “…With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. …”
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  11. 131

    Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

    Published 2024-05-01
    “…With the increase in the devices used in an application for smooth and efficient operations, the amount of data generated is high. Today, fog computing has been emerging as an extended version of the cloud infrastructure that provides highly scalable services that are latency-aware to the end devices that are geographically distributed. …”
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    Data comparable encryption scheme based on cloud computing in Internet of things by Qian MENG, Jianfeng MA, Kefei CHEN, Yinbin MIAO, Tengfei YANG

    Published 2018-04-01
    “…The previously proposed short comparable encryption (SCE) scheme can infer the plaintext relationship by comparing the ciphertexts relationship as well as ensuring data security in Internet of things.Unfortunately,it will incur high storage and computational burden during the process of comparing ciphertexts and generating tokens.To this end,an efficient short comparable encryption scheme called SCESW was proposed,which was utilizing the sliding window method with the same size window.Formal security analysis shows that the scheme can guarantee weak indistinguishability in standard model as well as data security and integrity.The experimental results demonstrate that the storage of the SCESW scheme is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mi>t</mi> </mfrac> <mo stretchy="false">(</mo><mi>t</mi><mi>></mi><mn>1</mn><mo stretchy="false">)</mo></math></inline-formula> times shorter than that of the SCE scheme and the efficiency of the SCESW scheme is superior to that of the SCE scheme.…”
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    Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

    Published 2025-01-01
    “…This study proposes an edge computing-based system to tackle this challenge to minimize the latency by performing the data analysis on the data source, or on the edge. …”
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    Support for Computer-Assisted Qualitative Data Analysis Software in ARL libraries by Paul Pival

    Published 2025-03-01
    “…While rarely taught to librarians in a formal academic setting, the support of Computer-Aided Qualitative Data Analysis Software is one such niche that appears in academic libraries across North America. …”
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  20. 140

    MATHEMATICAL MODEL OF RESOURCE DISTRIBUTION OF THE COMPUTING CLUSTER OF CLOUD DATA CENTERS by V. P. Mochalov, G. I. Linets, N. Y. Bratchenko, I. S. Palkanov

    Published 2022-08-01
    “…The subject of the study is the distribution and load balancing systems of computing clusters of cloud data centers (data centers) containing a variety of servers, data storage systems, I/O system interconnected by a communication network. …”
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