3 papers
cs.RO2023
Memory-efficient particle filter recurrent neural network for object localization
Roman Korkin, Ivan Oseledets, Aleksandr Katrutsa
This study proposes a novel memory-efficient recurrent neural network (RNN) architecture specified to solve the object localization problem. This problem is to recover the object s…
cs.RO2023
Multiparticle Kalman filter for object localization in symmetric environments
Roman Korkin, Ivan Oseledets, Aleksandr Katrutsa
This study considers the object localization problem and proposes a novel multiparticle Kalman filter to solve it in complex and symmetric environments. Two well-known classes of f…
physics.geo-ph2023
Parallel Modeling of the Acoustic Signal Propagation in a Cased Well
Vladimir Cheverda, Galina Reshetova, Artem Kabannik +4
A numerical method is proposed for carrying out a full-scale simulation of the process of propagation of an acoustic signal in a cased well. The main goal is to study the interacti…