3 papers
cs.LG2026
Hybrid quantum recurrent neural network for remaining useful life prediction of turbofan engines
Olga Tsurkan, Aleksandra Konstantinova, Aleksandr Sedykh +5
Accurate remaining useful life (RUL) estimation underpins safe operation and cost-effective maintenance of aerospace propulsion systems. We propose a Hybrid Quantum Recurrent Neura…
cs.LG2025
Photovoltaic power forecasting using quantum machine learning
Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov +6
Accurate forecasting of photovoltaic power is essential for reliable grid integration, yet remains difficult due to highly variable irradiance, complex meteorological drivers, site…
cs.LG2025
Stabilization of industrial processes with time series machine learning
Matvei Anoshin, Olga Tsurkan, Vadim Lopatkin +1
The stabilization of time series processes is a crucial problem that is ubiquitous in various industrial fields. The application of machine learning to its solution can have a deci…