Resource-intensive computations are a major factor that limits the
effec...
In recent years generative design techniques have become firmly establis...
In the paper, a multi-objective evolutionary surrogate-assisted approach...
In modern data science, it is often not enough to obtain only a data-dri...
The effectiveness of the machine learning methods for real-world tasks
d...
The paper describes the usage of intelligent approaches for field develo...
In this paper, a multipurpose Bayesian-based method for data analysis, c...
In this paper, a multi-objective approach for the design of composite
da...
Time series analysis is widely used in various fields of science and
ind...
In engineering practice, it is often necessary to increase the effective...
Arctic ocean modelling is a complex, computationally-intensive task that...
Complex systems' modeling and simulation are powerful ways to investigat...