Accurate prediction of carbon emission is critical for the development of low-carbon
economy. However, most carbon emission prediction studies use a single model with low …

Global carbon emissions have increased dramatically in recent years, leading to a spate of
extreme weather events worldwide. So, it is very important to establish a scientific carbon …

Since February 2020, the world has been engaged in an intense struggle with the COVID-19
disease, and health systems have come under tragic pressure as the disease turned into a …

With the aggravation of traffic congestion, traffic flow data (TFD) prediction is very important
for traffic managers to control traffic congestion and for traffic participants to plan their trips …

Complicated and changeable ocean environment causes the particularity of ocean
background noise. Therefore, feature extraction of ship radiated noise is an urgent problem …

Time-series features are the characteristics of data periodically collected over time. The
calculation of time-series features helps in understanding the underlying patterns and …

Within the framework of this paper, the author's entropy method of road safety management
in large-sized systems is considered. The road safety management system in the Russian …

Edge computing is a fast-growing and much needed technology in healthcare. The problem
of implementing artificial intelligence on edge devices is the complexity and high resource …

The concept of entropy is not uniquely relevant to the statistical mechanics but, among
others, it can play pivotal role in the analysis of a time series, particularly the stock market …

In plants, the germinating pollen grain (pollen tube) is a single, elongated cell that serves as
a conduit through which gametes pass. Pollen tubes display a fast growth rate, which under …