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  1. 961

    Accelerating machine learning at the edge with approximate computing on FPGAs by Luis Gerardo León-Vega, Eduardo Salazar-Villalobos, Jorge Castro-Godínez

    Published 2022-11-01
    “…This research aims to accelerate machine learning by offloading the computation to low-end FPGAs and using approximate computing techniques to optimise resource usage, taking advantage of the inaccurate nature of machine learning models. …”
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  2. 962

    Study on Differentiated Security Service Based on Cloud Computing by Dongmei Li, Shijun Yin, Jianyong Chen

    Published 2013-03-01
    “…Dep1oyment and app1ication of c1oud computing can significant1y save computing resource, and promote business innovation and deve1opment.However, if users' data is stored and processed in pub1ic c1oud computing which is provided by an independent third party, more security threat wi11 be faced than that of the traditiona1 way.Security has become one of the most important obstac1es for the deve1opment of c1oud computing.Differentiated security architecture was proposed, according to the diversity of security requirements from different users.The consumption of computing resource from security service cou1d be reduced and thus the deve1opment of c1oud computing is benefited.…”
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  3. 963

    Neuromorphic computing for robotic vision: algorithms to hardware advances by Sayeed Shafayet Chowdhury, Deepika Sharma, Adarsh Kosta, Kaushik Roy

    Published 2025-08-01
    “…Using vision-based drone navigation (VDN) as an exemplar—drawing parallels with biological systems like Drosophila—we demonstrate how these components enable event-driven processing and overcome von Neumann architecture limitations through near-/in-memory computing. …”
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  4. 964

    Understanding Edge Computing: Engineering Evolution With Artificial Intelligence by Jun-Ho Huh, Yeong-Seok Seo

    Published 2019-01-01
    “…The key to the explosion of the Internet of Things and the ability to collect, analyze, and provide big data in the cloud is edge computing, which is a new computing paradigm in which data is processed from edges. …”
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  5. 965

    Key Technologies of Edge Computing Gateway and Its Application by LI Wenhao, CHEN Zhongsheng

    Published 2022-08-01
    “…It is able to deploy data computing tasks to run on local devices, and upload the real-time, short-cycle data processed by edge computing to the cloud platform using Ethernet or wireless communication. …”
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  6. 966

    Spontaneous Ad Hoc Mobile Cloud Computing Network by Raquel Lacuesta, Jaime Lloret, Sandra Sendra, Lourdes Peñalver

    Published 2014-01-01
    “…Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. …”
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  7. 967

    Mobile Imaging and Computing for Intelligent Structural Damage Inspection by ZhiQiang Chen, Jianfei Chen

    Published 2014-01-01
    “…The most significant one is the lacking of computing and processing capability in the real time. …”
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    Article
  8. 968

    Network optimization by regional computing for UAVs' big data by Afzal Badshah, Ali Daud, Omar Ibrahim Aboulola, Amal Bukhari, Bader Alshemaimri, Hussain Dawood

    Published 2025-06-01
    “…Simulation results demonstrate that the RC layer reduces end-to-end processing delays by approximately 80%, lowers operational costs by up to 5× compared to cloud computing, and achieves lower task failure rates relative to edge computing. …”
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    Article
  9. 969

    Chaotic proliferation of relativistic domain walls for reservoir computing by J. A. Vélez, M.-K. Lee, G. Tatara, P.-I. Gavriloaea, J. Ross, D. Laroze, U. Atxitia, R. F. L. Evans, R. W. Chantrell, M. Mochizuki, R. M. Otxoa

    Published 2025-04-01
    “…However, how non-conventional computing methods like reservoir computing might take advantage of these properties remains an open question. …”
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    Article
  10. 970

    Heralded fidelity-robust high-dimensional quantum computing by Fang-Fang Du, Zhi-Guo Fan, Zhuo-Ya Bai, Qiu-Lin Tan

    Published 2025-01-01
    “…Moreover, since the imperfect NV ^− -cavity interaction processes are predicted in real-time by sensitive single-photon detectors, both high-dimensional CNOT and Toffoli gates boast robust fidelities using existing technology. …”
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    Article
  11. 971

    Edge Computing Architecture for the Management of Underwater Cultural Heritage by Jorge Herrera-Santos, Marta Plaza-Hernández, Sebastián López-Florez, Vladimir Djapic, Javier Prieto Tejedor, Emilio Santiago Corchado-Rodríguez

    Published 2024-12-01
    “…The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. …”
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  12. 972

    Soil erosion monitoring based on cloud computing platform by Rahman Fahmi Arief, Hidayat Nita Lusy Yanti, Supriyadi Slamet, Adiputra Agung

    Published 2024-01-01
    “…The objective of this study was to estimate the rate of soil erosion in Blega Watershed, Bangkalan, Madura by means of RUSLE based on Cloud Computing Platform. The data obtained from several satellites’ imageries, were processed and analysed by employing GEE platform. …”
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  13. 973

    Review of the Application of UAV Edge Computing in Fire Rescue by Hongqiang Sun, Rui Xu, Jianguo Luo, Han Cheng

    Published 2025-05-01
    “…In fire rescue scenarios, the rapid increase in the amount of data collected and transmitted by sensors poses significant challenges to traditional methods of data storage and computing. Sensor-data processing utilizing UAV edge computing technology is emerging as a research hotspot in this field and aims to address the challenges of data preprocessing and feature analysis during fire emergency rescue. …”
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    Article
  14. 974

    Hyperdimensional computing in biomedical sciences: a brief review by Fabio Cumbo, Davide Chicco

    Published 2025-05-01
    “…Hyperdimensional computing (HDC, also known as vector-symbolic architectures—VSA) is an emerging computational paradigm that relies on dealing with vectors in a high-dimensional space to represent and combine every kind of information. …”
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  15. 975

    Computer modeling of rectangular-cylindrical trawl doors by Victor I. Gabruk, Ivan A. Kornienko, Vasily V. Kudakaev, Svetlana V. Zhigulskaya, Kseniya G. Frankovskaya

    Published 2015-06-01
    “…Computer modeling of the rectangular-cylindrical trawl doors designed by P.P. …”
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  16. 976

    COMPUTER LITERACY AMONG IAIN LHOKSEUMAWE STUDENTS by Wahidah

    Published 2018-12-01
    “…They should have skill and positive attitudes toward computer to achieve effective teaching and learning process. …”
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    Article
  17. 977

    Using Computational Methods to Explore Law in Sermons by Markus M. Totzeck, Valentin Fuchs

    Published 2025-05-01
    “…In this article, we present the first findings of the ongoing <i>RUNIP</i> project, in which computer-assisted methods are used and validated in sermon analysis. …”
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  18. 978

    Simulating Ising-Like Models on Quantum Computer by Andrey Andreev, Pavel Khrapov

    Published 2023-10-01
    “…Using special parameterizations of the state of the system of qubits and transfer matrix decomposition, free energy and magnetization are calculated for 3-chain model on a quantum computer emulator. The entire computation process, including quantum computer emulation, is implemented using the Python programming language. …”
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  19. 979

    3D simulation of carbon monoxide purification with CuCl(7.0)/AC by pressure swing adsorption process by P. Sharafi, E. Salehi, H.R Sanaeepur, A. Ebadi Amooghin

    Published 2022-12-01
    “…Next, the PSA process to separate CO from syngas using CuCl/AC absorbent at ambient temperature and pressure of 1000 kPa was evaluated by computational fluid dynamics simulation. …”
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  20. 980

    Computational analysis of learning in young and ageing brains by Jayani Hewavitharana, Kathleen Steinhofel, Karl Peter Giese, Carolina Moretti Ierardi, Amida Anand

    Published 2025-05-01
    “…Although there are numerous studies on computational models and approaches which aim to mimic the learning process of the brain, they often concentrate on generic neural function exhibiting the potential need for models that address age-related changes in learning. …”
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