AI-driven automation is revolutionizing data engineering, enabling businesses to optimize, scale and enhance data ecosystems. Agentic mesh architecture can improve resilience and adaptability.

Gears play an indispensable role in the transmission systems of advanced industrial equipment. Timely detection of anomalies in gear components is crucial for ensuring operational efficiency and ...

Figure 1. Basic Autoencoder architecture, showing encoder and decoder components [22]. Figure 2. AE-based framework for signal reconstruction, highlighting latent space compression. Recent ...

If so, can someone please explain the technical details of how the discriminator is incorporated into the loss function ? because i do not find its architecture. PS: If there is any discord server ...

As an alternative, we trained modified autoencoder networks to mimic human-like behavior in a binaural detection task. The autoencoder architecture emphasizes interpretability and, hence, we “opened ...

In this paper, we present a practical unsupervised anomaly-based deep learning detection system called ARCADE (Adversarially Regularized Convolutional Autoencoder for unsupervised network anomaly ...