Abstract
In the development of assistive robots, a major challenge is to improve the spatial perception of robots for object identification in various scenarios. For this purpose, it is necessary to develop tools for analysis and processing of artificial stereo vision data. For this reason, [...]Abstract
International audience; Good, efficient and reliable public transportation systems are of crucial importance for all major cities today. In this paper, we propose a concrete solution to a particular problem: improve the prediction of the bus arrival time at each bus stop station on [...]Abstract
The flexibility and cost efficiency of traffic monitoring using Unmanned Aerial Vehicles (UAVs) has made such a proposition an attractive topic of research. To date, the main focus was placed on the types of sensors used to capture the data, and the alternative data processing options [...]Abstract
Neural networks (NNs) as an alternative method for universal approximation of differential equations have proven to be computationally efficient and still sufficiently accurate compared to established methods such as the finite volume method (FVM). Additionally, analysing weights [...]Abstract
The aim of this study is to develop new methods for forecasting time series with data of different frequencies among exogenous factors; forecasting the indicators of the wholesale electricity market in Russia using methods of combining data of different frequencies, including those [...]