Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

With the advent of the Industry 4.0 era, the digital economy (DE) has become a new driver of
sustainable development. This paper focuses on DE's green and environmental value …

Over the past 15 years, many feature extraction methods have been used and developed for
the recognition of plant species. These methods have mostly been performed using …

Deep learning occupies a prominent position in the field of machine learning, where
researchers have introduced autoencoder into extreme learning machine (ELM) to establish …

In a two-class classification task, if the number of examples of one class (majority) is much
greater than that of another class (minority), then the classification is said to be class …

A feedforward neural network with random weights (RW-FFNN) uses a randomized feature
map layer. This randomization enables the optimization problem to be replaced by a …

Цель исследования-оценка полярности и поляризации экономического развития
территорий по однородным группам. Объект исследования-экономическое …

The purpose of this paper is to apply the rationale of Domain Theory (DT) with the taxonomy
of the Resource-Based View (RBV) to explain how information technology (IT) creates value …

Цель исследования: разработать инструментарий оценки экономического положения
территориальных образований для информационной поддержки обоснования …

One of the most important production inputs is energy, particularly crude oil. The impacts of
oil price fluctuations on global trade flows can be understood by the uncertainty channel …