Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Develo** clustering algorithms is a hot topic …

In the past decades, the rapid growth of computer and database technologies has led to the
rapid growth of large-scale datasets. On the other hand, data mining applications with high …

Short-term wind power prediction has a considerable effect on improving the productivity of
wind energy systems and increasing economic benefits. In recently years, various wind …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

Text clustering has been widely utilized with the aim of partitioning specific document
collection into different subsets using homogeneity/heterogeneity criteria. It has also become …

Collectiveness is an important property of many systems—both natural and artificial. By
exploiting a large number of individuals, it is often possible to produce effects that go far …

Lithium-ion batteries are the current most promising device for electric vehicle applications.
They have been widely used because of their advantageous features, such as high energy …

Studies have reported significant reductions in air pollutant levels due to the COVID-19
outbreak worldwide global lockdowns. Nevertheless, all of the reports are limited compared …

Due to the lack of objective measures, the evaluation and prioritization of clustering methods
is inherently challenging. Since their evaluation generally involves numerous criteria, it can …

Studies in air pollution epidemiology are of paramount importance in diagnosing and
improve life quality. To explore new methods or modify existing ones is critical to obtain …