Stella Gornostal

National University of Civil Protection of Ukraine

Papers

Total Citations

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About

Dr. Stella Gornostal is a leading researcher in computer vision and intelligent monitoring systems, with a particular focus on advancing object recognition for unmanned aerial vehicles (UAVs). Her most influential work, "Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform" (2021, 17 citations), addresses a critical challenge in autonomous drone operations: the reliable detection and classification of objects from aerial imagery. Dr. Gornostal's key contribution lies in her innovative integration of discrete wavelet transforms with convolutional neural networks, a hybrid approach that significantly enhances image recognition accuracy while reducing computational load. This method enables UAVs to more effectively automate the detection of objects and assess their state in real-time—a vital capability for applications ranging from infrastructure inspection to environmental monitoring. By systematically analyzing and improving upon existing image recognition techniques, Dr. Gornostal has provided a robust framework that advances the automation of aerial surveillance systems. Her work stands as a notable achievement in the intersection of signal processing and deep learning, offering practical solutions for the next generation of intelligent, autonomous monitoring platforms.