Organisms use organic molecules called osmolytes to adapt to environmental conditions. In
vitro studies indicate that osmolytes thermally stabilize proteins, but mechanisms are …

In many practical situations data may be characterized by nonlinearly separable clusters.
Classical (hard or fuzzy) clustering algorithms produce a partition of objects by computing …

Credit scoring is a crucial indicator for banks to determine the financial position and the
eligibility of a client for credit. In order to assign statistical odds or probabilities to predict the …

The prevalence of longstanding chronic diseases has increased worldwide, along with the
average age of the population. As a result, an increasing number of people is affected by …

The presence of outliers in the dependent and/or independent features distorts predictions
with machine learning techniques and may lead to erroneous conclusions. It is important to …

Marine fish movement plays a critical role in ecosystem functioning and is increasingly
studied with acoustic telemetry. Traditionally, this research has focused on single species …

The ten countries with the highest population during the pandemic were analyzed for
clustering based on the quantitative numbers of COVID-19 and policy plans. The Fuzzy K …

Transcriptomics and metabolomics are methodologies being increasingly chosen to perform
molecular studies in grapevine (Vitis vinifera L.), focusing either on plant and fruit …

Outliers significantly impact the reliability of the analyses informing the expert systems.
Depending on the context in which data is collected, the traditional approaches of …

<? show [AQ ID= GQ2 POS=-18pt]?><? show [AQ ID= GQ4]?><? show [AQ ID= GQ5 POS=
12pt]?> This paper aims to extend the Besag model, a widely used Bayesian spatial model …