This study investigates the use of deep learning techniques for building a generalized surrogate model that can accurately and very efficiently predict antenna performance parameters. Notably. we focus on applications where a substantial amount of simulation time is required and prior data is available for deep learning use. Specifically. https://www.bekindtopets.com/great-choice-Stable-SuperFork-Muck-Fork-Replacement-Heads-special-save/
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