A Novel Approach for Anomaly Detection in Time-Series Data using Generative Adversarial Networks
Author:
Affiliation:
1. KPMG,USA
2. Chandigarh University,Department of CSE,Mohali,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169129/10169119/10169365.pdf?arnumber=10169365
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3. Anomaly Detection for Internet of Things Time Series Data Using Generative Adversarial Networks With Attention Mechanism in Smart Agriculture
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5. Student Sentiment Analysis Using Various Machine Learning Techniques
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