In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

The learning management system is a digital environment that enables the tracking of
learner activities, allowing special forms of data from the academic context to be explored …

The k-means method aims to divide a set of N objects into k clusters, where each cluster is
represented by the mean value of its objects. This algorithm is simple and converges to local …

Astronomy is a branch of science that covers the study and analysis of all extraterrestrial
objects and their phenomena. The study brings together the aspects of mathematics …

Deep learning (DL) is a hot topic in machine learning (ML). To limit the amount of time and
money spent on supervised machine learning, we use DL. With a variety of methodologies …

Background: During the last decade, cerebral vasospasm after aneurysmal subarachnoid
hemorrhage (SAH) was a current research focus without a standardized classification in …

Clustering analysis is essential for obtaining valuable information from a predetermined
dataset. However, traditional clustering methods suffer from falling into local optima and an …

A new methodology based on expert knowledge and data mining is proposed to obtain data-
driven models that characterize household consumption profiles. These profiles are useful …

Big data, with N× P dimension where N is extremely large, has created new challenges for
data analysis, particularly in the realm of creating meaningful clusters of data. Clustering …