Anomaly Detection for Sensor Signals Utilizing Deep Learning Autoencoder-Based Neural Networks

Anomaly detection is a significant task in sensors’ signal processing since interpreting an abnormal signal can lead to making a high-risk decision in terms of sensors’ applications. Deep learning algorithms are effective tools for anomaly detection due to their capability to address imbalanced data...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Fatemeh Esmaeili, Erica Cassie, Hong Phan T. Nguyen, Natalie O. V. Plank, Charles P. Unsworth, Alan Wang
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2023-03-01
श्रृंखला:	Bioengineering
विषय:	time series anomaly detection outlier detection semi-supervised learning signal processing autoencoder (AE) vanilla autoencoder
ऑनलाइन पहुंच:	https://www.mdpi.com/2306-5354/10/4/405
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