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  1. 1921

    Empowering self-sustained agriculture: an IoT field tracking model driven by fog computing by Gurpreet Singh, Jaspreet Singh, Sapna Juneja, Yonis Gulzar, Deepali Gupta, Kayhan Zrar Ghafoor, Mukesh Kumar

    Published 2025-04-01
    “…Fog platform brings computation and storing nearer at the network’s the border, allowing for the efficient processing of data produced by IoT devices across smart agricultural systems. …”
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    Article
  2. 1922

    Hardware-Accelerated Data Readout Platform Using Heterogeneous Computing for DNA Data Storage by Xiaopeng Gou, Qi Ge, Quan Guo, Menghui Ren, Tingting Qi, Rui Qin, Weigang Chen

    Published 2025-05-01
    “…This heterogeneous computing acceleration system enables the efficient execution of the entire readout process for DNA data storage. …”
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    Article
  3. 1923

    Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

    Published 2019-01-01
    “…Deep learning and edge computing are the emerging technologies, which are used for efficient processing of huge amount of data with distinct accuracy. …”
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    Article
  4. 1924

    Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks by Xiaoyi Zhou, Liang Huang, Tong Ye, Weiqiang Sun

    Published 2024-12-01
    “…This paper investigates the multi-Unmanned Aerial Vehicle (UAV)-assisted wireless-powered Mobile Edge Computing (MEC) system, where UAVs provide computation and powering services to mobile terminals. …”
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    Article
  5. 1925

    Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

    Published 2025-07-01
    “…While classical AI methods have shown promise in glioma classification, the growing volume of medical data, inherent noise, and limitations of classical vector spaces present significant challenges. However, quantum computing-based AI methods have the potential to process data in parallel by leveraging quantum properties such as superposition and entanglement, analyze higher-dimensional data more efficiently, and solve certain problems that classical methods struggle with more rapidly and effectively. …”
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    Article
  6. 1926
  7. 1927

    Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

    Published 2025-07-01
    “…Within this field, a variety of computational tools have been developed to facilitate the processing and interpretation of scRNA-seq data. …”
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    Article
  8. 1928
  9. 1929

    EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

    Published 2025-01-01
    “…Simultaneously, the increasing adoption of wearable devices capable of processing audio-visual information has further driven the demand for On-screen Sound source Separation (OSS), particularly in dynamic, egocentric scenarios. …”
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    Article
  10. 1930

    Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

    Published 2025-01-01
    “…According to experimental results, our model achieves a processing time reduction of 30%, a transaction verification speed gain of 50%, and an energy usage savings of 40% over traditional blockchain frameworks. …”
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    Article
  11. 1931

    The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages by I. Szivák, Z. Csabai, D. Schmera, A. Móra

    Published 2024-07-01
    “…For instance, the metapopulation dynamic model predicts bimodal OFD pattern indicating the dominance of dispersal processes in structuring the assemblages, while the niche‐based model predicts unimodal right‐skewed OFD pattern, and thus assemblages are driven mostly by niche processes. …”
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    Article
  12. 1932

    The state of the art of diagnostic multiparty eye tracking in synchronous computer-mediated collaboration by Tom Frank Reuscher, Peyman Toreini, Alexander Maedche

    Published 2023-06-01
    “…In particular, the computation method enables scholars to investigate more complex cognitive processes within larger groups, as it scales up to multiple data streams. …”
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    Article
  13. 1933
  14. 1934
  15. 1935
  16. 1936
  17. 1937
  18. 1938

    HDPE Properties Evaluation via Instrumented Indentation: Experimental and Computer Simulation Approach by Anna Aleksandrovna Vinogradova, Kirill Valerievich Gogolinskiy, Kirill Igorevich Doronin, Ekaterina Konstantinovna Shchiptsova, Alena Vadimovna Melnikova

    Published 2025-04-01
    “…The aim of the work was to determine the parameters of the computer model, taking into account hardening and creep processes when verifying <i>P</i>(<i>h</i>) diagrams with experimental studies. …”
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  19. 1939

    COMPUTER SIMULATION AS A SUPPORT OF INDEPENDENT WORK OF STUDENTS IN STUDING THEORETICAL PHYSICS by O.A. Konoval, T.I. Turkot

    Published 2013-08-01
    “…The article reveals advantages of the process of self-study with use of computer didactic means, distinguishes didactic facilities of computer educational programs as to modeling of physical processes on the example of tasks in electrodynamics for self study of students with applying of the program «Component». …”
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  20. 1940

    COMPUTER MODEL OF AN AIRCRAFT TURBULENT FLOW OVER AND CALCULATION OF IT’S AERODYNAMIC CHARACTERISTICS by Yu. V. Yatskevich, Yu. V. Kozedub

    Published 2015-08-01
    “…Based on this model the computer system allowing to simulate aerodynamic processes around an aircraft and to calculate it’s aerodynamic characteristics was developed. …”
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    Article