| Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid M Golovianko, V Terziyan, V Branytskyi, D Malyk Procedia Computer Science 217, 102-113, 2023 | 121 | 2023 |
| Encryption and generation of images for privacy-preserving machine learning in smart manufacturing V Terziyan, D Malyk, M Golovianko, V Branytskyi Procedia Computer Science 217, 91-101, 2023 | 10 | 2023 |
| Hyper-flexible convolutional neural networks based on generalized lehmer and power means V Terziyan, D Malyk, M Golovianko, V Branytskyi Neural Networks 155, 177-203, 2022 | 7 | 2022 |
| Digital clones and digital immunity: adversarial training handles both V Branytskyi, M Golovianko, S Gryshko, D Malyk, V Terziyan, T Tuunanen International Journal of Simulation and Process Modelling 18 (2), 124-139, 2022 | 4 | 2022 |
| Generative adversarial networks with bio-inspired primary visual cortex for Industry 4.0 V Branytskyi, M Golovianko, D Malyk, V Terziyan Procedia Computer Science 200, 418-427, 2022 | 4 | 2022 |
| The Truth is Out There: Focusing on Smaller to Guess Bigger in Image Classification V Terziyan, O Kaikova, D Malyk, V Branytskyi Procedia Computer Science 217, 1323-1334, 2023 | | 2023 |
| ANNEX 3 Deliverable 3: Implementing and training the immune system (attack detector). V Terziyan, M Golovianko, V Branytskyi, D Malyk, S Gryshko | | |
Vagan TerziyanProfessor, University of Jyvaskyla & Visiting Prof., Kharkiv National University of Radioelectronics在 jyu.fi 的电子邮件经过验证
