IEEE

Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network

Abstract: Bearing anomaly detection plays a crucial role in modern industries as most rotating machinery faults are attributed to faulty bearings. However, acquiring fault samples in industry is a ...
IEEE

Sentiment Analysis Using Hybrid Model of Stacked Auto-Encoder-Based Feature Extraction and Long Short Term Memory-Based Classification Approach

Abstract: Customer reviews about a brand or product, movie reviews, and social media reviews can be analyzed through sentiment analysis. Sentiment analysis is used to identify the emotional tone of ...