Abstract Machine learning is now extensively applied in a variety of fields. Machine learning
is employed like an efficient assistance mechanism in clinical diagnostics since vast …

Data clustering is a process of arranging similar data in different groups based on certain
characteristics and properties, and each group is considered as a cluster. In the last …

In Wireless Sensor Networks routing data and information from one node to another and to
base station is a major challenges. It shows the commutation between efficiency and …

Long short-term memory network (LSTM) has been applied to time series prediction with
positive results in recent years. Hyperparameter configuration has a significant impact on the …

Data clustering is an unsupervised process in which identical data are collected in groups. A
clustering algorithm divides a set of objects into different subsets, these subsets are non …

The demand for fast and intelligent optimization methods is constantly growing. Owing to
this, new methods based on the behaviour of living organisms are being developed. This …

Optimization means to find the best solution for any situation under given constraints. In
today's era, the problems are huge and complex. Nature always finds a way to deal with …

Medical images aligning is essential due to the existing angular rotation and translation of
objects inside the medical images which leads to complex post-processing. Accordingly …

Diabetes mellitus (DM) is a group of metabolic disorders characterized by elevated blood
glucose levels, presenting a significant global health burden affecting both developed and …