Effective forecasting of carbon prices helps investors to judge carbon market conditions and promotes the environment and economic sustainability.The contribution of this paper is constructing a novel secondary decomposition hybrid carbon price forecasting model, namely CEEMD-SE-VMD-LSTM.It is noteworthy that the sample entropy is introduced to ide

The purpose of the work is to evaluate the spatial distribution of the rigidity of the copyright frame and the body of the Ukrainian electric locomotive DC3 as a single system during operation and repair.The research was carried out on SHIRTS URBAN REGULAR FIT the basis of the finite element method with the application of design and computing compl

In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR).This aims to further improve the utilization and efficiency of SCR.In this study, a fuzzy gray relational analysis coupled with random forest (RF) and back propagation art

Summary: The Chemical Master Equation (CME) provides an accurate description of stochastic biochemical reaction networks in well-mixed conditions, but it cannot be solved analytically for most systems of practical interest.Although Monte Carlo methods provide a principled means to probe system VITAMIN D3 2500IU dynamics, the large number of simulat

Autism spectrum disorder (ASD) is a neurological and developmental disorder whose late diagnosis is based on subjective tests.In seeking for earlier diagnosis, we aimed to find objective biomarkers via analysis of resting-state functional MRI (rs-fMRI) images obtained from the Autism Brain Image Data Exchange (ABIDE) database.Thus, we estimated bra