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  1. 741
  2. 742

    MFD: Material-based Design Informed by Digital Fabrication by Rivka Oxman

    Published 2016-08-01
    Subjects: “…Informed Computational Processes…”
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    Article
  3. 743
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    COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE by Affas MAAMAR & Hadjer HADJCHERIF

    Published 2025-03-01
    “…Abstract : Computational linguistics, as an interdisciplinary field combining linguistics and computer science, aims to enable computers to process natural language. …”
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    Article
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    TWO APPROACHES IN COMPUTER SCIENCE by A. A. Moskvitin, K. F. Samokhvalov, A. B. Cheboksarov

    Published 2022-08-01
    “…This work is devoted to a very relevant topic for those engaged in computer science: different approaches to the process of setting and solving problems in computer science. …”
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    Article
  10. 750

    Controlled Cardiac Computed Tomography

    Published 2006-01-01
    “…<p>Cardiac computed tomography (CT) has been a hot topic for years because of the clinical importance of cardiac diseases and the rapid evolution of CT systems. …”
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  11. 751

    INFORMATICS, COMPUTER ENGINEERING AND MANAGEMENT by A. V. Malikov

    Published 2022-08-01
    “…The paper considers several combinatorial and optimization problems in Big Data systems, including the computational complexity of finding functional dependencies in the subject area and constructing a data schema, the number of combinations for recovering traversing paths on data schema is calculated, the maximum number of B + tree indexes is calculated. …”
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  12. 752

    Controlled Cardiac Computed Tomography by Erwei Bai, Chenglin Wang, Ying Liu, Ge Wang

    Published 2006-01-01
    “…Cardiac computed tomography (CT) has been a hot topic for years because of the clinical importance of cardiac diseases and the rapid evolution of CT systems. …”
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    Article
  13. 753

    Computational model of sliding bearing by Maria A. Savenkova, Konstantin S. Solop

    Published 2017-10-01
    “…Introduction. Refined computational models of tribosystems taking into account the dependence of viscosity and permeability of the porous coating on pressure through partial filling of the front gap with lubricant are described. …”
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  14. 754

    Self-Awareness in Computer Networks by Ariane Keller, Daniel Borkmann, Stephan Neuhaus, Markus Happe

    Published 2014-01-01
    “…Although the Internet has evolved to a global system of interconnected computer networks, which links together billions of heterogeneous compute nodes, its static architecture remained more or less the same. …”
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  15. 755

    D2D assisted cooperative computational offloading strategy in edge cloud computing networks by Yanyan Wang, Dechuan Kong, Haojie Chai, Hongzhou Qiu, Ran Xue, Shuhang Li

    Published 2025-04-01
    “…Specifically, we first build a task queue system with multiple local devices, peer devices and edge processors, and compare the execution performance of computing tasks on different devices, taking into account user costs such as task delay, power consumption, and wait delay. …”
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  16. 756

    Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks by Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li

    Published 2024-07-01
    “…To address this issue, we propose a cooperative power, bandwidth and computation resource allocation (RA) scheme in this paper, maximizing the overall utility of Cramér-Rao bound (CRB) for sensing accuracy, computation latency for processing sensing information, and communication and computation latency for computational tasks. …”
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    The Effect of Cooperative Learning on Academic Performances and Computational Thinking Skills in the Computational Problem-Solving Approach by İrem Nur Çelik, Kaan Bati

    Published 2024-09-01
    “…Qualitative data were collected through semi-structured interviews at the end of the process to determine students' views on the computational problem-solving process. …”
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  19. 759

    Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

    Published 2025-06-01
    “…Quantum Machine Learning (QML) is the emerging confluence of quantum computing and artificial intelligence that promises to solve computational problems inaccessible to classical systems. …”
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