This is the repository to go with the paper "Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management" in the ...

This letter proposes a deep learning approach based on long short-term memory denoising autoencoder (LSTM-DAE) combined with Isolation Forest (IF) for early detection of sensor anomalies in nuclear ...

Shinoy Bhaskaran, an eminent figure in data engineering and AI-driven frameworks, has co-authored a groundbreaking research ...

Source: Beijing Institute of Technology Press Railroad networks are a critical component of global transportation, ...

Digital platforms can become a powerful tool to combat gender-based cyber violence, but only if we act decisively.

The blue social bookmark and publication sharing system.

The proposed framework incorporates a feature attention mechanism into the TS-LSTM approach, which increases the ability to identify relationships and extract keywords for depression detection using ...

Source: Beijing Institute of Technology PressRailroad networks are a critical component of global transportation, facilitating the movement of goods ...

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques ...

Effective AI-driven predictive maintenance begins with comprehensive data collection. Data centers generate vast quantities ...

That’s where AI detection tools come in. Further reading: How not to get bamboozled by AI content on the web In my never-ending quest to stay one step ahead of AI-generated content, I tried four ...

Discover how lab-on-a-chip technologies and microfluidic sensors are transforming point-of-care diagnostics with real-time, ...