The correlation analysis of commodity sales is very important in cross-marketing. A means of
undertaking dynamic-model-based time series data-mining was proposed to analyze the …

Floods are significant global hazards that generally lead to loss of lives and billions worth of
properties, especially in flood-prone regions. Various excellent artificial intelligence …

Extensive time-series encoding the position of particles such as viruses, vesicles, or
individual proteins are routinely garnered in single-particle tracking experiments or …

The aim of this study is to assess, monitor, and analyzed water quality parameters recorded
from reservoirs in of Saudi Arabia for Electrical Conductivity (EC) forecasting. Water quality …

Time series clustering is an essential ingredient of unsupervised learning techniques. It
provides an understanding of the intrinsic properties of data upon exploiting similarity …

Background Epileptic seizures are characterized by aberrant synchronization. We
hypothesized that higher synchronization across the seizure onset zone (SOZ) channels …

Recently it has been mathematically proved that any digital signal can be expressed as a
string 13 3-point motifs and information in the signal is encoded in terms of those motifs. This …

Entropy is an important topic in biomedical signal analysis. It is widely applied to numerous
practical data to determine neurological disorders. Various entropy measures have been …

Claude Shannon insisted that attributing an interpretation or meaning to information will
destroy its generality and limit its scope. According to him it is only the statistical nature of …

Purpose Construction trade unions have been a vital force in improving the job standards
and wellbeing of trade workers. However, the union membership in the construction industry …