This paper proposes a new autoencoder-like generative network, called Adversarial Generator-Encoder Networks (AGE Network). This model is special because this AGE does not have any discriminators, ...

In a wind turbine generator (WTG) the encoder is a key feedback device used to measure speed position and direction of rotating parts like the generator shaft or rotor. 🔧 Encoder Voltage in Wind ...

Encoders serve an important purpose, so choosing the right one is an essential but complicated task. The device must work reliably, even in a tough environment. I’ve climbed a lot of turbines and can ...

Most double-feed induction generators require encoder feedback for top performance and line synchronization. But the high vibration and temperature extremes kill even “heavy duty” optical encoders.

This project uses an Auto Encoder model and a custom built dataset (built on work listed further in the Readme) of human-created Dungeons and Dragons characters to create an NPC (Non-Playable ...

Although deep neural networks have achieved great success in many tasks, they encounter security threats and are often fooled by adversarial examples, which are created by making slight modifications ...

Build a generative model colored_pi_generator whose output is a 5-dimensional point which comes from the same distribution as the points in the dataset. pi_xs.npy - A numpy array of length 5000 - the ...

Abstract: Generative adversarial networks (GAN) have shown great potential for image quality improvement in low-dose CT (LDCT). In general, the shallow features of generator include more shallow ...