Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model. - Anton Rassõlkin; Viktor Rjabtsikov; Vladimir Kuts; Toomas Vaimann; Ants Kallaste; Bilal Asad; Andriy Partyshev (IEEE Access, 2022)

Digital Twin of Wind Generator to Simulate Different Turbine Characteristics Using IoT. - Hadi Ashraf Raja; Karolina Kudelina; Viktor Rjabtsikov; Toomas Vaimann; Ants Kallaste; Raimondas Pomarnacki; Van Khang Hyunh (FTC (1), 2023)

Overview of Digital Twin Platforms for EV Applications. - Mahmoud Ibrahim; Viktor Rjabtsikov; Rolando Gilbert (Sensors, 2023)

Neuro-Fuzzy Approach for Fault Prediction of Mechanical Bearing Faults Using Vibration Analysis. - Veroonika Shirokova; Karolina Kudelina; Hadi Ashraf Raja; Viktor Rjabtsikov; Tatjana Baraskova; Karle Nutonen (IECON, 2024)

The Spatial Representation of a Self-Driving Vehicle for the Virtual Entity of a Digital Twin. - Anton Rassõlkin; Pavels Maksimkins; Andrejs Stupans; Viktor Rjabtsikov; Armands Senfelds; Vladimir Kuts (Computer, 2024)

Deep Learning Methodology for Charging Management Applications in Battery Cells Based on Neural Networks. - Rolando Antonio Gilbert Zequera; Viktor Rjabtsikov; Anton Rassõlkin; Toomas Vaimann; Ants Kallaste (IEEE Trans. Intell. Veh., 2025)