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Showing 1 - 14 results of 14 for search 'Functional line artificial neural network', query time: 0.13s Refine Results
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    Nonreciprocal surface plasmonic neural network for decoupled bidirectional analogue computing by Xiaomeng Li, Haochen Yang, Enzong Wu, Xincheng Yao, Ying Li, Fei Gao, Hongsheng Chen, Zuojia Wang

    Published 2025-08-01
    “…Abstract To address the burgeoning demand for computing capacity in artificial intelligence, researchers have explored optical neural networks that show advantages of ultrafast speed, low power consumption, ultra-high bandwidth, and high parallelism. …”
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    Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm by Ying-Chun CHANG, Min-Chie CHIU, Meng-Ru WU

    Published 2018-07-01
    “…Here, the objective function can be established by using Artificial Neural Networks (ANNs) in conjunction with the muffler’s design parameters and related TLs (simulated by FEM). …”
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    Intelligent System of Relay Protection of Electrical Network 6-10 kV with the Implementation of Automatic Correction of the Operation Set Point by Shilin A.A., Dement’ev S.S., Dikarev P.V.

    Published 2023-08-01
    “…The most significant result of the study is an example of the implementation of intelligent relay protection using a digital shadow in the form of an artificial neural network. The application of a neural network for approximating the current function of a two-phase short circuit is demonstrated. …”
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    Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

    Published 2025-02-01
    “…Questionnaires were sent through the Press Line program and within social network groups, and for some through phone and email. …”
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    Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

    Published 2025-03-01
    “…It should be noted that* the current criminal policy approach requires re-evaluation and reassessment in line with the current advancement of neural technologies and artificial intelligence to effectively monitor and address the challenges and consequences arising from the development of these technologies. …”
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    A variable metric proximal stochastic gradient method: An application to classification problems by Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

    Published 2024-01-01
    “…Extensive numerical experiments verify that the suggested approach performs on par with state-of-the-art methods for training both statistical models for binary classification and artificial neural networks for multi-class image classification. …”
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