4 papers
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev +1
In response to the growing demand for 3D object detection in applications such as autonomous driving, robotics, and augmented reality, this work focuses on the evaluation of semi-s…
Accessing Convective Hazards Frequency Shift with Climate Change using Physics-Informed Machine Learning
Mikhail Mozikov, Ilya Makarov, Alexandr Bulkin +3
In this paper we discuss and address the challenges of predicting extreme atmospheric events like intense rainfall, hail, and strong winds. These events can cause significant damag…
Interaction models for remaining useful life estimation
Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
The paper deals with the problem of controlling the state of industrial devices according to the readings of their sensors. The current methods rely on one approach to feature extr…
Long-term hail risk assessment with deep neural networks
Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov +1
Hail risk assessment is necessary to estimate and reduce damage to crops, orchards, and infrastructure. Also, it helps to estimate and reduce consequent losses for businesses and,…