Generative adversarial networks and data clustering for likable drone design

HIGHLIGHTS

• who: Lee J. Yamin and Jessica R. Cauchard from the Magic Lab, Department of Industrial Engineering and Management, Ben Gurion University of the Negev have published the Article: Generative Adversarial Networks and Data Clustering for Likable Drone Design, in the Journal: Sensors 2022, 22, 6433. of /2022/
• what: Motivated by their promising results, the authors explore a 2 of 20 fully computational approach using StyleGAN2-ADA with the aim to generate new likable drone designs without human intervention. As the interest in drones in social contexts is increasing, in this work, the authors focus on . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.