Neural Networks

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Analysis of the efficiency of pneumatic actuator regulation in selected production processes using artificial intelligence, graph algorithms, and probabilistic methods, taking into account failure rates and return on investment costs
Roll pass design for round and square sections using an informed artificial neural network
Fast prediction of the material displacement in open die forging using neural networks
Space object identification and correlation through AI-aided light curve feature extraction
Refinement of structural theories for composite shells through convolutional neural networks
On the constraints and consistency in implicit constitutive modelling using ANNs and indirect training
A machine learning approach for adhesion forecasting of cold-sprayed coatings on polymer-based substrates