This work presents a new metamodel for reinforced panels under compressive loads, typically used in light-weight aircraft structures. The metamodel represents a replicable cell structure of integrally ...

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A recurrent neural network trained with the backpropagation through time training algorithm is used to find a way of distinguishing between the so-called load harmonics and supply harmonics, without ...

An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized high-isolation antenna effectively. The method is a building model of multi-input target characteristics and ...

You just need to be able to differentiate between the two. Also: How AI coding agents could destroy open source software Use ChatGPT to demo techniques, write small algorithms, and produce ...

machine-learning neural-network machine-learning-algorithms modern-cpp regression neural-networks feedforward-neural-network gradient-descent backpropagation template-library ...