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...

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Bibliografiska uppgifter

Huvudupphov:	Ariyo Oluwasanmi, Muhammad Umar Aftab, Edward Baagyere, Zhiguang Qin, Muhammad Ahmad, Manuel Mazzara
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2021-12-01
Serie:	Sensors
Ämnen:	anomaly detection autoencoder variational autoencoder (VAE) long short-term memory (LSTM) attention module
Länkar:	https://www.mdpi.com/1424-8220/22/1/123
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