Machine learning methods for the industrial robotic systems security
D Tsapin, K Pitelinskiy, S Suvorov, A Osipov… - Journal of Computer …, 2023 - Springer
The trends in the introduction of industrial and logistics robots into the social sphere of
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …
Machine Learning Methods Based on Geophysical Monitoring Data in Low Time Delay Mode for Drilling Optimization
A Osipov, E Pleshakova, A Bykov, O Kuzichkin… - IEEE …, 2023 - ieeexplore.ieee.org
The purpose of the article is to create an effective method to monitor the state of the drill
string and the bit without interfering with the drilling process itself in low-time delay mode …
string and the bit without interfering with the drilling process itself in low-time delay mode …
Machine learning methods for speech emotion recognition on telecommunication systems
A Osipov, E Pleshakova, Y Liu, S Gataullin - Journal of Computer Virology …, 2023 - Springer
The manuscript is devoted to the study of human behavior in stressful situations using
machine learning methods, which depends on the psychotype, socialization and a host of …
machine learning methods, which depends on the psychotype, socialization and a host of …
Development of a Network Traffic Anomaly Detection System Based on Neural Networks
N Bespalova, A Ershov, S Sitnikov, S Nechaev… - Biologically Inspired …, 2023 - Springer
Ensuring information security using artificial intelligence technologies is one of the most
promising areas in the modern world. The use of an artificial intelligence-based cyber …
promising areas in the modern world. The use of an artificial intelligence-based cyber …