Abstract: This work develops a solver based on the neural networks, where the discrete form of integral equations (IEs) is embedded to address both forward and inverse dynamic electromagnetic ...
Abstract: This work extends a matrix-based numerical methodology to cover fully canonical generalized Chevyshev (GC) transfer functions by reconfiguring canonical filter topologies into dangling ...
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