Skiadopoulos, Michail, Kifer, Daniel, and Shokouhi, Parisa. A transfer learning approach to the prediction of porosity in additively manufactured metallic components. Retrieved from https://par.nsf.gov/biblio/10654185. NDT & E International 157.C Web. doi:10.1016/j.ndteint.2025.103531.

Skiadopoulos, Michail, Kifer, Daniel, & Shokouhi, Parisa. A transfer learning approach to the prediction of porosity in additively manufactured metallic components. NDT & E International, 157 (C). Retrieved from https://par.nsf.gov/biblio/10654185. https://doi.org/10.1016/j.ndteint.2025.103531

Skiadopoulos, Michail, Kifer, Daniel, and Shokouhi, Parisa. "A transfer learning approach to the prediction of porosity in additively manufactured metallic components". NDT & E International 157 (C). Country unknown/Code not available: Science Direct. https://doi.org/10.1016/j.ndteint.2025.103531. https://par.nsf.gov/biblio/10654185.

@article{osti_10654185,
place = {Country unknown/Code not available}, title = {A transfer learning approach to the prediction of porosity in additively manufactured metallic components}, url = {https://par.nsf.gov/biblio/10654185}, DOI = {10.1016/j.ndteint.2025.103531}, abstractNote = {Not Available}, journal = {NDT & E International}, volume = {157}, number = {C}, publisher = {Science Direct}, author = {Skiadopoulos, Michail and Kifer, Daniel and Shokouhi, Parisa}, }