Sistem deteksi anomali berbasis deep learning yang menggunakan LSTM Autoencoder untuk mendeteksi anomali dalam data time series. anomaly-detection/ ├── config/ # Konfigurasi model dan data ├── data/ # ...

This project is an example demonstrating how to use Python to train two different machine learning models to detect anomalies in an electric motor. The first model relies on the classic machine ...

Abstract: Though it is challenging, anomaly detection in real-time video data has significant implications in many disciplines like public safety, education, and agriculture. This paper proposes a ...

Abstract: Graph anomaly detection (GAD) has attracted increasing interest due to its critical role in diverse real-world applications. Graph neural networks (GNNs) offer a promising avenue for GAD, ...

You will be redirected to our submission process. The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection.