In recent decades, global warming has been an indisputable fact. The increase in extreme
events accompanied by the rise in temperature has huge influences on many aspects of the …

Global navigation satellite system (GNSS) datasets suffer from common mode error (CME)
and other unmodeled errors. To decrease the noise level in GNSS positioning, we propose …

This paper seeks to analyze the information flow between the Bourse Régionale des
Valeurs Mobilières (BRVM) and Environmental, Social, and Governance (ESG) stocks …

Effective prediction of air pollution concentrations is of great importance to both the physical
and mental health of citizens and urban pollution control. As one of the main components of …

During the operation process of a gearbox, the vibration signals can reflect the dynamic
states of the gearbox. The feature extraction of the vibration signal will directly influence the …

The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-
component signals into single oscillatory modes called intrinsic mode functions (IMFs) …

Background Patients frequently report that weather changes trigger headache or worsen
existing headache symptoms. Recently, the method of empirical mode decomposition (EMD) …

The trends of sea surface chlorophyll-a (Chl-a) concentrations in the Bohai and Yellow Seas
of China (BYS) were analysed based on the satellite-derived Chl-a dataset from August …

With a view to map the health status of mosaics, non-destructive testing methods ought to be
used for data collection. Among these, the infrared thermography is highly recommended …

Preventing plunge pool scouring in hydraulic structures is crucial in hydraulic engineering.
Although many studies have been conducted experimentally to determine relationship …