| no. | Pages | Title | Authors |
| 3 | 33-40 | Shear strength estimation of a FRP-strengthened RC beam: A comparison between an artificial neural network and guideline equations | Michał P. Wójcik, Kacper Pawlikowski, Łukasz Madej |
| 3 | 5-32 | Shear strength estimation of a FRP-strengthened RC beam: A comparison between an artificial neural network and guideline equations (extended scientific paper) | Hamid Nezaminia |
| 2 | 39–48 | An analytical model for the tool center point placement in Robotic Roller Forming | Thomas Stewens, Yi Liu, Ling Wang, Junying Min |
| 2 | 27–38 | A universal convolutional neural network for the pixel-level detection and monitoring of weld beads | Zhuo Wang, Metin Kayitmazbatir, Mihaela Banu |
| 2 | 5-25 | Modeling the thermo-mechanical response and phase changes in metallic additive manufacturing (MAM) processes using a dissipative phase-field model (extended scientific paper) | Roya Darabi, Erfan Azinpour, Ana Reis, Jose Cesar de Sa |
| 1 |
51-60 | A case study on tundish fluid flow with electromagnetic stirring | Monika Zielińska, Hongliang Yang, Łukasz Madej, Łukasz Malinowski |
| 1 | 37-49 | Plastic deformation mechanisms in BCC single crystals and equiatomic alloys: Insights from nanoindentation | Francisco Javier Dominguez-Gutierrez, Stefanos Papanikolaou, Silvia Bonfanti, Mikko Alava |
| 1 | 25-36 | Capabilities of numerical simulation support for defect investigations in die forgings | Marek Hawryluk, Sławomir Polak, Łukasz Dudkiewicz, Jan Marzec, Magdalena Jabłońska, Maciej Suliga, Roger Tkocz, Grzegorz Korpala |
| 1 | 15 – 24 | Functionally graded porous material and its application in sandwich beams for bending and vibration behaviors | Lan Hoang Ton That |
| 1 | 5 – 14 | Development of an object identification algorithm for the forging industry based on standard vision systems | Adrian Litwa, Lukasz Madej |
