Abstract Internet of Medical Things (IoMT) is a recently introduced paradigm which has
gained relevance as an emerging technology for widely connected and heterogeneous …

The retrieval of important information from a dataset requires applying a special data mining
technique known as data clustering (DC). DC classifies similar objects into a groups of …

Clustering is a powerful tool in exploratory data analysis that partitions a set of objects into
clusters with the goal of maximizing the similarity of objects within each cluster. Due to the …

Clustering has a wide range of applications in various industries. In different research ideas,
bionic algorithms have heuristic help for clustering research. However, most of the clustering …

Energy efficiency plays a major role in sustaining lifespan and stability of the network, being
one of most critical factors in wireless sensor networks (WSNs). To overcome the problem of …

Epigenetics is the study of phenotypic variations that do not alter DNA sequences. Cancer
epigenetics has grown rapidly over the past few years as epigenetic alterations exist in all …

Data clustering is considered as an important component of data mining which aims to split
a given dataset into disjoint groups having same similarities. The developed techniques for …

Clustering problems have been widely studied in the literature. Multiple types of solutions
have been devised depending on the specific problem considered, including ad-hoc …

The defining feature of a longitudinal data set is that individuals are measured repeatedly
through time, giving rise to (a vector of) observations that tend to be intercorrelated. In …

Over the past decade, energy and environmental sustainability in urban rail transport have
become increasingly important. Hybrid transportation systems present a multifaceted …