| Issue Date | Title | Author(s) |
| 2021 | Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network | Zhuk, A.; Ablameyko, S.; Абламейко, С. В. |
| 2023 | Deep learning based approach for vertebrae detection on spine X-RAY | Charapennikau, R. M. |
| 2023 | HRGC-YOLO for Urine Sediment Particle Detection in High-Resolution Microscopic Images | Yunqi Zhu; Haixu Yang; Luhong Jin; Dagan Yang; Yu Chen; Xianfei Ye; Ablameyko, S.; Yingke Xu |
| 2020 | Implementation of an intelligent decision support system to accompany the manufacturing process | Golovko, V. A.; Kroshchanka, A. A.; Kovalev, M. V.; Taberko, V. V.; Ivaniuk, D. S. |
| 2024 | Improved real-time object detection algorithm | Tang Yi; Zhao Di |
| 2019 | Neural network based image understanding with ontological approach | Iskra, N. A.; Iskra, V. V.; Lukashevich, M. |
| 2020 | Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product Labeling | Golovko, V. A.; Kroshchanka, A. A.; Kovalev, M. V.; Taberko, V. V.; Ivaniuk, D. |
| 2022 | Object detection on images based on YOLOX | Gao Haoxuan |
| 2024 | Principles of Building Intelligent Robotic Systems | Kroshchanka, A.; Kovalev, M. |
| 2023 | PYNQ framework for FPGA-based embedded systems | Marmuzevich, M. A. |
| 2022 | Small object detection method | Tang, Yi; Gourinovitch, A. |
| 2021 | Superpixel Clustering for Detection of Binary Object Hierarchy Using Modernized Classical Clustering Methods | Kharinov, M. |
| 2018 | Traffic sign detection and problems in the field of computer vision | Lukashevich, M. |
| 2023 | Video object detection program design under two different client-server organizations | Gao, H.; Shevchuk, O. G. |
| 2020 | Подход к анализу изображений для систем технического зрения | Искра, Н. А. |
| 2019 | Подход к анализу изображений в системах мониторинга | Искра, Н. А. |
