Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

The intricacy of the real-world numerical optimization tribulations has full-fledged and
diversely amplified necessitating proficient yet ingenious optimization algorithms. In the …

Abstract The Resource-Constrained Project Scheduling Problem (RCPSP) plays a critical
role in various management applications. Despite its importance, research efforts are still …

Uncertainty is unavoidable in classification tasks and might originate from data (eg, due to
noise or wrong labeling), or the model (eg, due to erroneous assumptions, etc). Providing an …

The classification of time series using machine learning (ML) analysis and entropy-based
features is an urgent task for the study of nonlinear signals in the fields of finance, biology …

En la parte informática, se creará una bibilioteca para poder analizar de forma causal redes
de pases de un equipo tanto a lo largo de un partido como a lo largo de una competición, y …

The neurobiological predictive coding model proposed by Rao and Ballard is thus far a
widely notorious theoretical model about how the visual cortex in our brain works. Inspired …