MOTION LEARNING USING SPATIO-TEMPORAL NEURAL NETWORK
Motion trajectory prediction is one of the key areas in behaviour and surveillance studies. Many related successful applications have been reported in the literature. However, most of the studiesare based on sigmoidal neural networks in which some dynamic properties of the data are overlooked due to...
Guardado en:
Autores principales: | Nooraini Yusoff, Farzana Kabir-Ahmad, Mohamad-Farif Jemili |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
UUM Press
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0318b47f190348ffaddea490a5dfe265 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Aplikasi Spatio-Temporal Pembelajaran Biografi Para Ulama Bermazhab Syafi’i berbasis Mobile
por: Wifda Muna Fatihia, et al.
Publicado: (2021) -
Perancangan Sistem Informasi E-Learning pada SMAN ABC
por: TB E Zaki Baihaki, et al.
Publicado: (2021) -
Pengukuran Tingkat Kesiapan E-learning Guru di Kota Jayapura di Masa Pandemik Covid-19
por: Remuz Maurenz Bertho Kmurawak, et al.
Publicado: (2021) -
THE EXPERT SYSTEM OF CONTROL AND KNOWLEDGE ASSESSMENT
por: V. Golovachyova, et al.
Publicado: (2020) -
Pattern Recognition of Human Face With Photos Using KNN Algorithm
por: Dedy Kurniadi, et al.
Publicado: (2021)