Aleksei Shcherbak

According to our database, Aleksei Shcherbak authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wearable Sensors and Machine Learning Fusion for Parkinson's Disease Assessment.

Mohammed Hammoud, Aleksei Shcherbak, Melaku N. Getahun, Olga Istrakova, Nataliya Shindryaeva, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Anna Baldycheva, Andrey Somov

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Detection and Classification of Early Stages of Parkinson's Disease Through Wearable Sensors and Machine Learning.

Aleksei Shcherbak, Ekaterina Kovalenko, Andrey Somov

IEEE Trans. Instrum. Meas., 2023

LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems.

Artem Lykov, Maria Dronova, Nikolay Naglov, Mikhail Litvinov, Sergei Satsevich, Artem Bazhenov, Vladimir Berman, Aleksei Shcherbak, Dzmitry Tsetserukou

CoRR, 2023

SwarmGear: Heterogeneous Swarm of Drones with Reconfigurable Leader Drone and Virtual Impedance Links for Multi-Robot Inspection.

Zhanibek Darush, Mikhail Martynov, Aleksey Fedoseev, Aleksei Shcherbak, Dzmitry Tsetserukou

CoRR, 2023

MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV.

Sausar Karaf, Aleksey Fedoseev, Mikhail Martynov, Zhanibek Darush, Aleksei Shcherbak, Dzmitry Tsetserukou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Dominant Hand Invariant Parkinson's Disease Detection Using 1-D CNN Model and STFT-based IMU Data Fusion.

Aleksei Shcherbak, Ekaterina Kovalenko, Ekaterina Bril, Anna Baldycheva, Andrey Somov

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

2022

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease.

Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, Anna Anikina, Ekaterina Bril, Olga Zimniakova, Maxim Semenov, Dmitry V. Dylov, Andrey Somov

IEEE Trans. Instrum. Meas., 2022

2021

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors.

Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Aleksei Shcherbak, Oscar Mayora, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Dmitry V. Dylov, Andrey Somov

IEEE Trans. Instrum. Meas., 2021

Low-power Hybrid Energy Harvesting System Based on the Joint Operation of Glucose Biofuel Cells and Thermoelectric Generator.

Daria Gazizova, Aleksei Shcherbak, Pavel M. Gotovtsev, Yulia Parunova, Sergei Vostrikov, Andrey Somov

Proceedings of the IECON 2021, 2021