This paper introduces ARGAE-MSCE, an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a Multi-scale Chebyshev Convolutional (ChebConv) Encoder (MSCE), designed for unsupervised anomaly ...

Abnormal Data,Adjusted Rand Index,Anomaly Detection,Autoencoder,Brute-force Attacks ... Latent Space,LinkedIn,Mean Square Error,Neural Network,Neurons In Layer,Outlier Detection,Password ...

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.

The pipeline preprocesses raw data, extracts meaningful features, and applies machine learning models for anomaly detection. The primary algorithm used is the Isolation Forest, which is well-suited ...

Bridge is an edge‑AI powered structural health monitoring system designed for real‑time anomaly detection and geospatial evaluation of bridges. Utilizing onboard TensorFlow Lite inference on ESP32 ...