Gorodnichev, Mikhail, Sergey Erokhin, Ksenia Polyantseva, and Marina Moseva, “On the Problem of Restoring and Classifying a 3D Object in Creating a Simulator of a Realistic Urban Environment”, Sensors, 2022
Gorodnichev, Mikhail & Erokhin, Sergey & Sheremetev, Aleksandr & Gematudinov, Rinat & Moseva, Marina, “Development of software module for recognizing traffic flows through deep learning”, Journal of Industrial Integration and Management, 2022
Tran, Van-Thuan, Wei-Ho Tsai, Yury Furletov, and Mikhail Gorodnichev, “End-to-End Train Horn Detection for Railway Transit Safety”, Sensors, 2022
Marina Moseva, Kamil Kharrasov, Mikhail Gorodnichev, “Robust Neural Network-Based Object Detection Method for Drone Images”, International Journal of Artificial Intelligence, 2024
Borodin, K., Kudryavtsev, V., Korzh, D., Efimenko, A., Mkrtchian, G., Gorodnichev, M., Rogov, O.Y., “AASIST3: KAN-enhanced AASIST speech deepfake detection using SSL features and additional regularization for the ASVspoof 2024 Challenge”, The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024), 2024
M. G. Gorodnichev, “On the problem of applicability of synthetic data in testing intelligent transport systems”, Comp. nanotechnol., 12:1 (2025), 105–115
2.
K. O. Ievlev, M. G. Gorodnichev, “Comparative analysis of HDFS and Apache Ozone data storage systems”, Comp. nanotechnol., 12:1 (2025), 26–33
3.
M. G. Gorodnichev, “On the application of reinforcement learning in the task of choosing the optimal trajectory”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 27:2 (2025), 86–102
