open navigation menu
Autores
Documentos
Organizaciones
Eventos
Proyectos
Patentes
Servicios
Inicio
Acerca de
Explorar
Análisis
Reportes
Regresar
Inicio
/
Explore
/
Authors
Mostrando
1
resultados de:
1
Filtros
Subtipo de publicación
Article
(1)
Publisher
IEEE Access
(1)
Área temáticas
Ciencias de la computación
(1)
Área de conocimiento
Aprendizaje automático
(1)
Ciencias de la computación
(1)
Año de Publicación
2023
(1)
Origen
scopus
(1)
Palabras Claves
Human activity recognition
(1)
bidirectional-gated recurrent unit (Bi-GRU)
(1)
convolution neural networks (CNNs)
(1)
deep learning
(1)
recurrent neural networks (RNNs)
(1)
Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection
Article
Abstract:
Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in m
Palabras claves:
bidirectional-gated recurrent unit (Bi-GRU), convolution neural networks (CNNs), deep learning, Human activity recognition, recurrent neural networks (RNNs)
Autores:
Ahmad T., Alwageed H.S., Jinsong Wu, Khan F., Khan J., Lee Y.
Fuentes:
scopus
1
1