In this paper, a probabilistic self-organising map-based model combined with a fuzzy logic
model is proposed for foreground object detection in video sequences. Our method consists …

This paper discusses the evolution of sovereign debt management over the past two
decades, highlights the need for its further evolution in light of the continuous efforts to build …

Wastewater-based epidemiology has shown to be an efficient tool to track the circulation of
SARS-CoV-2 in communities assisted by wastewater treatment plants (WWTPs). The …

Venezuela’s economy is currently undergoing the largest contraction in recorded Latin
American history. Between 2012 and 2017, per capita gross domestic product (GDP) fell by a …

The tumor suppressor PTEN is a major brake for cell transformation, mainly due to its
phosphatidylinositol 3,4,5-trisphosphate [PI(3,4,5)P 3 ] phosphatase activity that directly …

Air quality and reduction of emissions in the transport sector are determinant factors in
achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to …

A robust foreground detection system is presented, which is resilient to noise in video
sequences. The proposed model divides each video frame in patches that are fed to a stacked …

Due to the large amount of visual information generated daily, proposals that automatically
analyze and process data are becoming increasingly necessary. This work focuses on the …

In video surveillance systems which incorporate stationary cameras, the first phase of movement
object detection is crucial for the correct modelling of the behavior of these objects, as …

Healthcare workers (HCW) are at high risk for suicide, yet little is known about the onset of
suicidal thoughts and behaviors (STB) in this important segment of the population in …