Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection

Today, accurate and automated abnormality diagnosis and identification have become of paramount importance as they are involved in many critical and life-saving scenarios. To accomplish such frontiers, we propose three artificial intelligence models through the application of deep learning algorithm...

Descripción completa

Detalles Bibliográficos
Autores principales: Oluwasanmi, Ariyo, Aftab, Muhammad Umar, Baagyere, Edward, Qin, Zhiguang, Ahmad, Muhammad, Mazzara, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747546/
https://www.ncbi.nlm.nih.gov/pubmed/35009666
http://dx.doi.org/10.3390/s22010123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747546/
https://www.ncbi.nlm.nih.gov/pubmed/35009666
http://dx.doi.org/10.3390/s22010123

Ejemplares similares