The reconstruction loss of the trained LSTM Autoencoder model is estimated for the up-to-date reliability streaming data, and the result is used to infer MEC services’ runtime reliability anomalies.

Deepfake Image Detection using Convolutional Neural Networks (CNN) with PyTorch and TensorFlow, achieving ~97% accuracy. Classifies real and fake images with efficient preprocessing and model training ...

Time-series forecasting is applied to many areas of smart factories, including machine health monitoring, predictive maintenance, and production scheduling. In smart factories, machine speed ...