The future carbon price is crucial to relevant companies, investors, and carbon
policymakers, and the significance of carbon price prediction research is self-evident …

Making an accurate prediction of an unknown system only from a short-term time series is
difficult due to the lack of sufficient information, especially in a multistep-ahead manner …

Common anomaly recognition methods are easy to misjudge and miss outliers for the online
monitoring data. This is a bottleneck problem that needs to be overcome in dam safety …

Purpose International Accounting Standards Rule 37 (IAS 37) for Contingent Liabilities and
Assets were designed to make analysis of exposures facing a corporate entity easier to …

Special issue on fuzzy theoretical model analysis for signal processing Page 1 Journal of
Intelligent & Fuzzy Systems 37 (2019) 4407–4411 DOI:10.3233/JIFS-179272 IOS Press 4407 …

In order to solve the shortcomings and defects of the existing sampling survey methods, a
simple estimator is constructed for sampling inference. Due to less consideration of …

Making an accurate prediction of an unknown system only from a short-term time series is
difficult due to the lack of sufficient information, especially in a multi-step-ahead manner …

Regression analysis is conceptually the simplest method used for investigating the
functional relationship between dependent and independents variables. In this paper, the …