Problem-solving is considered to be an essential everyday skill, in professional as well as in
personal situations. In this paper, we investigate whether a predictive model for a problem …

In order to complete automatic route planning in the complex navigation environment, this
paper proposes a quadratic optimization genetic algorithm combining the motion …

Smart cities work under a more resource-efficient management and economy than ordinary
cities. As such, advanced business models have emerged around smart cities, which have …

This article deals with the multicriteria programming model to optimize the time of completing
home assignments by school students in both in-class and online forms of teaching. To …

Designing a structure of Recurrent Neural Network (RNN) can be performed either manually
or automatically using a Neural Architecture Search (NAS). Automatically approach is more …

The aim of the study was to increase the speed, quantity and quality of solutions in intelligent
systems aimed at solving the problem of structural–parametric synthesis of models of large …

Featured Application Risk assessment, deep learning, network architecture search,
recurrent neural network, automated driving vehicle. Abstract This paper describes the …

The word radome is a contraction of radar and dome. The function of radomes is to protect
antennas from atmospheric agents. Radomes are closed structures that protect the antennas …

This paper proposes a deep neural network structuring methodology through a genetic
algorithm (GA) using chromosome non-disjunction. The proposed model includes methods …

Featured Application Neural Architecture Search (NAS) on linguistic tasks. Abstract In this
paper, we apply the neural architecture search (NAS) method to Korean grammaticality …