Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment
Anomaly detection is critical for enhancing operational efficiency, safety, and maintenance in industrial applications, particularly in the era of Industry 4.0 and IoT. While traditional anomaly detection approaches face limitations such as scalability issues, high false alarm rates, and reliance on...
Saved in:
Main Authors: | Praveen Vijai, Bagavathi Sivakumar P |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025003627 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation
by: Zhan Wang, et al.
Published: (2025-01-01) -
Deep learning technology: enabling safe communication via the internet of things
by: Ramiz Salama, et al.
Published: (2025-02-01) -
Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes
by: Ibrahim R. Alzahrani
Published: (2025-02-01) -
Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network
by: Yonghao He, et al.
Published: (2025-01-01) -
Method for detecting anomalies in geomagnetic field variations
based on artificial neural network
by: Imashev, Sanjar A.
Published: (2024-12-01)