Tab2vox: cnn-based multivariate multilevel demand forecasting framework by tabular-to-voxel image conversion

HIGHLIGHTS

• who: Euna Lee and collaborators from the School of Industrial and Management Engineering, Korea University, Seoul, Korea have published the paper: Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion, in the Journal: Sustainability 2022, 14, x FOR PEER REVIEW Figure 6. A boxplot showing the accuracy deviation of five test sets for each model. of /2022/
• what: The authors propose a Tab2vox neural architecture search (NAS) model as a method to convert a high-dimensional tabular sample into a well-formed 3D voxel and use it in a 3D . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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