Showing 4,901 - 4,920 results of 9,922 for search 'open computing', query time: 0.17s Refine Results
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    Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

    Published 2021-06-01
    “…EDNR+PSO, AntChain Protocol, Improvised Ant Colony Routing (IACR) and ANTALG. Open source simulator NS 2.3 is employed for carrying out the simulation. …”
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    Classification of dynamical Lie algebras of 2-local spin systems on linear, circular and fully connected topologies by Roeland Wiersema, Efekan Kökcü, Alexander F. Kemper, Bojko N. Bakalov

    Published 2024-11-01
    “…In addition to the closed and open spin chains, we consider systems with a fully connected topology, which may be relevant for quantum machine learning approaches. …”
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  5. 4905

    Event-Based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation by Craig Iaboni, Pramod Abichandani

    Published 2024-01-01
    “…Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) applications. This paper presents a systematic review of datasets, architectures, learning methods, implementation techniques, and evaluation methodologies used in CV-based object detection tasks using SNNs. …”
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    A controllable privacy data transmission mechanism for Internet of things system based on blockchain by ZiXiang Nie, YuanZhenTai Long, SenLin Zhang, YueMing Lu

    Published 2022-03-01
    “…To prove the feasibility of our mechanism, a prototype system is implemented based on the Hyperledger Fabric, an open-source consortium blockchain framework. Our experimental results show in practice the usability and scalability of the approach in this article.…”
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    A Dual-Level Intelligent Architecture-Based Method for Coupling Fault Diagnosis of Temperature Sensors in Traction Converters by Yunxiao Fu, Qiuyang Zhou, Haichuan Tang

    Published 2025-07-01
    “…At the first level, it integrates multi-source parameters such as outlet temperature and pressure to establish dynamic prediction models, which are combined with adaptive threshold mechanisms for detecting various sensor faults including offset, open-circuit, and noise interference. At the second level, it monitors the status of temperature sensors through time-series analysis of inlet temperature data. …”
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