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    Theory and Simulation of Electromagnetic Systems Governed by Machine Learning Principles 

    Nieto-Chaupis, Huber (IEEE, 2022)
    This paper proposes the idea that electromagnetic systems can be formulated through probabilities once the system has been understood by the classical physics. With this, several physical observables are estimated. Also, ...
    Acceso restringido
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    The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering 

    Nieto-Chaupis, Huber (IEEE, 2022)
    The principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton ...
    Acceso restringido

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    Author
    Nieto-Chaupis, Huber (2)
    Subject
    Machine learning (2)
    Mathematical models (2)
    Color (1)Electromagnetic fields (1)Electromagnetic scattering (1)Geometry (1)Optimized production technology (1)Power systems (1)Quantization (signal) (1)Quantum computing (1)... View MoreDate2022 (2)

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