Listar por tema "deep neural networks"
Mostrando ítems 1-3 de 3
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Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks
(Elsevier B.V., 2022)Surface electromyography (sEMG) has been widely used in clinical medicine, rehabilitation medicine, and intelligent robots. Currently, sEMG signal classification methods promoted the development and industrialization of ... -
Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet
(Springer Science and Business Media Deutschland GmbH, 2023)The number of deep learning (DL) layers increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based ... -
Using Meta-Learning to predict student performance in virtual learning environments
(Applied Intelligence, 2022)Educational Data Science has meant an important advancement in the understanding and improvemen of learning models in recent years. One of the most relevant research topics is student performance prediction through ...
