Roman Artiukh
Papers
1
Total Citations
17
H-Index
1
About
Dr. Roman Artiukh is a leading researcher in the fields of computer vision, unmanned aerial systems (UAS), and intelligent image processing. His most significant contribution lies in the development of an advanced method for object recognition that integrates convolutional neural networks (CNNs) with discrete wavelet transforms. This innovative approach, detailed in his highly cited 2021 paper (17 citations), significantly enhances the accuracy and robustness of automated object detection and state determination in aerial imagery. By addressing the critical challenge of automating image analysis for UAS, Dr. Artiukh’s work directly supports the reliable identification and monitoring of objects in complex environments. His research is pivotal for advancing autonomous surveillance, infrastructure inspection, and remote sensing technologies. With a growing citation impact, Dr. Artiukh continues to push the boundaries of intelligent monitoring systems, establishing himself as a key innovator at the intersection of deep learning and signal processing for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1