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  1. 961

    Volumetric Denoising of XCT Data Using Quantum Computing by Thomas Lang, Anja Heim, Anastasia Papadaki, Kilian Dremel, Dimitri Prjamkov, Martin Blaimer, Markus Firsching, Stefan Kasperl, Theobald O.J. Fuchs

    Published 2025-02-01
    “…Thus, it promises enormous gains in several domains, including the processing of n-dimensional images, such as those produced by X-ray computed tomography. …”
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  2. 962
  3. 963
  4. 964
  5. 965

    Biometric Fusion for Enhanced Authentication in Cloud Computing Environments by Chiyo Miyazawa, Ryosuke Sato

    Published 2024-03-01
    “…In the realm of cloud computing, ensuring robust data security is of utmost importance. …”
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    Article
  6. 966

    Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

    Published 2025-04-01
    “…The present study proposes a granular computing framework designed for dynamic resource optimization in IoT environments to address this. …”
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    Article
  7. 967

    Computing on the joint quadratic complexity of multiple periodic sequences by Li-hua DONG, Yu-pu HU, Yong ZENG

    Published 2012-06-01
    “…An algorithm for determining the joint quadratic complexity of the prescribed multiple periodic sequences over any finite field was presented by using the algorithm for computing the quadratic complexity of the prescribed single sequence proposed by Rizomiliotis and the methods for determining the solutions of the linear equations.The total processing time requirement is cubics function of the sequence length at most.…”
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  8. 968

    5G edge computing technology and application prospects by Hongyuan MA, Ziyu XIAO, Zhonggui BU, Yuan ZHAO

    Published 2019-06-01
    “…Edge computing is a method of processing data physically close to where data is generated,and it is one of the key technologies of 5G.The development of network technology and the demand of business applications have jointly promoted the maturity of 5G edge computing.The 5G edge computing technology system was elaborated through the perspective of edge infrastructure,edge computing network and edge platform,and the 5G edge computing application was prospected.…”
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    Article
  9. 969

    Privacy Preserving Inner Product of Vectors in Cloud Computing by Gang Sheng, Tao Wen, Quan Guo, Ying Yin

    Published 2014-05-01
    “…Much work has been done on the scenario of two parties involved in the computation. In this paper, we consider the scenario where three parties are involved in the computing process of cloud computing. …”
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    Article
  10. 970

    HEARING CORRECTION SYSTEM BASED ON MOBILE COMPUTING PLATFORM by E. S. Azarov, M. I. Vashkevich, S. V. Kozlova, A. A. Petrovsky

    Published 2016-10-01
    “…An implementation of digital hearing aid based on the mobile computing platform iPhone is proposed. The developed signal processing scheme has a low delay, takes into account characteristics of the computing platform and allows to perform the correction of sensorineural hearing loss. …”
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    Article
  11. 971

    Research on routing scheduling technology of computing power network by Ran PANG, Xinxin YI, Liang XIN, Chang CAO, Xiongyan TANG

    Published 2023-08-01
    “…With the needs of high-quality development of the digital economy, the research on computing power network is accelerating.How to realize the integrated scheduling of computing resources and network resources becomes the primary challenge for computing power network.The evolution of computing power network was introduced, the resource awaring and routing scheduling technology of computing power network were analyzed, and a hybrid routing scheduling solution for computing power network was proposed to realize the ability of flexible on-demand, fast routing and easy implementation.The implementation process of the hybrid routing scheduling solution in the remote driving scenario of the Internet of vehicles was introduced, which supported the provision of differentiated services integrating computing and networking and fast tuning when the vehicle was moving.…”
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    Article
  12. 972

    Research on routing scheduling technology of computing power network by Ran PANG, Xinxin YI, Liang XIN, Chang CAO, Xiongyan TANG

    Published 2023-08-01
    “…With the needs of high-quality development of the digital economy, the research on computing power network is accelerating.How to realize the integrated scheduling of computing resources and network resources becomes the primary challenge for computing power network.The evolution of computing power network was introduced, the resource awaring and routing scheduling technology of computing power network were analyzed, and a hybrid routing scheduling solution for computing power network was proposed to realize the ability of flexible on-demand, fast routing and easy implementation.The implementation process of the hybrid routing scheduling solution in the remote driving scenario of the Internet of vehicles was introduced, which supported the provision of differentiated services integrating computing and networking and fast tuning when the vehicle was moving.…”
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    Article
  13. 973

    Research on incentive mechanism for mobile intelligent edge computing by Shuyun LUO, Yuzhou WEN, Weiqiang XU, Shenghong ZHU

    Published 2019-06-01
    “…As a new architecture,mobile edge computing gives edge users stronger capabilities of computing,storage and communication,but it needs reasonable incentives mechanism to motivate edge users to provide resources.In terms of the three typical scenarios of mobile intelligent edge computing:computation offloading,edge caching and data collection,the incentive mechanism in the above scenarios was studied at first,then the core scientific problems were proposed that need to be solved in the incentive mechanism design of mobile intelligent edge computing from three perspectives of service quality,network quality and data quality.Finally,the technical challenges in the process of solving the above problems were analysed deeply and the corresponding feasible solutions were given.…”
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  14. 974

    Autonomous computing and network convergence:architecture, technologies, and prospects by Xiaomao ZHOU, Qingmin JIA, Yujiao HU, Kai GUO, Qianpiao MA, Hui LIU, Renchao XIE

    Published 2023-12-01
    “…In view of the new service scenarios and the demand for high intelligence network in computing and network convergence (CNC), the concept of autonomous CNC (Auto-CNC) is elaborated, where intelligence was introduced into all the aspects of CNC, including resource integration, process automation, and system intelligence.The current research directions and remaining challenges of CNC were introduced, and three key features, i.e., intent-driven computing network, the autonomous system operation and the adaptive co-evolution of communication, computing intelligence, were summarized from the proposed Auto-CNC.Meanwhile, the reference architecture and key technologies of Auto-CNC were described, which were followed by several preliminary exploration cases.Finally, future research trends and technical advice were discussed and recommended.…”
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    Article
  15. 975

    A survey of UAV-based edge intelligent computing by Chao DONG, Yun SHEN, Yuben QU

    Published 2020-09-01
    “…Edge intelligent computing refers to the offloading of computationally intensive tasks generated by user nodes to edge servers with stronger computing capabilities for processing.Unmanned aerial vehicle (UAV)-based edge intelligent computing combines intelligent drone platforms on this basis and utilizes them with the advantages of strong mobility and easy deployment,it can provide edge computing services for ground user equipment more quickly and flexibly.At the same time,drones can also be used as user nodes to off load their computationally intensive tasks to the ground edge server for execution.Aiming at two different scenarios of UAV as a user node or an edge server,the current research on edge intelligent computing based on UAV is classified and summarized according to different optimization goals such as minimizing energy consumption,minimizing delay and maximizing utility,and the next research direction is considered and prospected.…”
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  16. 976

    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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  17. 977

    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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    Article
  18. 978

    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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  19. 979

    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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    Article
  20. 980

    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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    Article