Novel Non-Linear Transient Path Energy Method for the Analytical Analysis of the Non-Periodic and Non-Linear Dynamics of Electrical Machines in the Time Domain. - Nikita Gabdullin; Jong-Suk Ro (IEEE Access, 2019)

Next Generation Autofocus and Optical Image Stabilization System for Camera Modules Using Magnetic Shape Memory Actuators. - Nikita Gabdullin; Hamza Ahmad; Jong-Suk Ro (IEEE Access, 2020)

Analysis of Nonlinear Dynamics of Permanent Magnet Magnetic Contactor via Novel Computationally Efficient Analytical Method Considering Stray and Leakage Fluxes. - Nikita Gabdullin; Jong-Suk Ro (IEEE Access, 2020)

Novel Piezoelectric Emergency Opening Sub-System to Improve the Safety and Reliability of Zero-Holding-Energy Permanent Magnet Magnetic Contactors. - Nikita Gabdullin; Jong-Suk Ro (IEEE Access, 2020)

Energy-Efficient Eco-Friendly Zero-Holding-Energy Magnetic Contactor for Industrial and Vehicular Applications. - Nikita Gabdullin; Jong-Suk Ro (IEEE Trans. Veh. Technol., 2020)

Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification. - Nikita Gabdullin (CoRR, 2022)

Investigation and rectification of NIDS datasets and standardized feature set derivation for network attack detection with graph neural networks. - Anton A. Raskovalov; Nikita Gabdullin; Vasily Dolmatov (CoRR, 2022)

Google Coral-based edge computing person reidentification using human parsing combined with analytical method. - Nikita Gabdullin; Anton A. Raskovalov (Internet Things, 2023)

Latent space configuration for improved generalization in supervised autoencoder neural networks. - Nikita Gabdullin (CoRR, 2024)

NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability. - Anton A. Raskovalov; Nikita Gabdullin; Ilya Androsov (CoRR, 2024)

Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification. - Nikita Gabdullin (CoRR, 2024)

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis. - Nikita Gabdullin (CoRR, 2024)

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks. - Nikita Gabdullin (CoRR, 2025)