7 citations · 14 across the 5 of their papers we have counts for
9 papers
Learning to Hear Broken Motors: Signature-Guided Data Augmentation for Induction-Motor Diagnostics
Saraa Ali, Aleksandr Khizhik, Stepan Svirin +2
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…
Intelligent Algorithms For Signature Diagnostics Of Three-Phase Motors
Stepan Svirin, Artem Ryzhikov, Saraa Ali +1
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…
Performance Modeling of Data Storage Systems using Generative Models
Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov +1
High-precision modeling of systems is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various co…
Robust Neural Particle Identification Models
Aziz Temirkhanov, Artem Ryzhikov, Denis Derkach +3
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings…
Latent Neural Stochastic Differential Equations for Change Point Detection
Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach
Automated analysis of complex systems based on multiple readouts remains a challenge. Change point detection algorithms are aimed to locating abrupt changes in the time series beha…
A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger
R. Aaij, M. Adinolfi, S. Aiola +157
The LHCb experiment at CERN is undergoing an upgrade in preparation for the Run 3 data taking period of the LHC. As part of this upgrade the trigger is moving to a fully software i…