2 citations · 4 across the 3 of their papers we have counts for
3 papers
Controllable Image Synthesis of Industrial Data Using Stable Diffusion
Gabriele Valvano, Antonino Agostino, Giovanni De Magistris +2
Training supervised deep neural networks that perform defect detection and segmentation requires large-scale fully-annotated datasets, which can be hard or even impossible to obtai…
Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization
Shadi Ghiasi, Guido Pazzi, Concettina Del Grosso +2
The design process of centrifugal compressors requires applying an optimization process which is computationally expensive due to complex analytical equations underlying the compre…
Deep Surrogate of Modular Multi Pump using Active Learning
Malathi Murugesan, Kanika Goyal, Laure Barriere +3
Due to the high cost and reliability of sensors, the designers of a pump reduce the needed number of sensors for the estimation of the feasible operating point as much as possible.…