The effectiveness of the machine learning methods for real-world tasks depends on the
proper structure of the modeling pipeline. The proposed approach is aimed to automate the …

Joint design is always of particular interest and important to treelike column structures in
view of their structural integrity and cost. In this work, an integrated method based on …

As a rapidly developing robot type, humanoid robots still have the problem of excessive
mass of structural components. Most of the existing lightweight methods usually add …

In the paper, we discuss the applicability of automated machine learning for the effective
multi-scale modeling of the industrial sensors time series. The proposed approach is based …

In this paper, a multi-objective approach for the design of composite data-driven
mathematical models is proposed. It allows automating the identification of graph-based …

We consider the problem of evolutionary self-organization of control strategies using the
example of speculative trading in a non-stationary immersion market environment. The main …

Civil engineering design problems are inherently complex, characterized by iterative
processes, multiple criteria, and time-consuming manual design work. Traditional methods …

Long-term river streamflow prediction and modeling are essential for water resource
management and decision-making related to water resources. This research paper …

This paper describes a generative design methodology for a micro hydrodynamic single-
RBC (red blood cell) trap for applications in microfluidics-based single-cell analysis. One …

Aiming at the problems of a low material utilization rate and uneven stress distribution of cast-
steel support joints in cable dome structures, topology optimization and additive …