Computer vision is a consistent and advanced technique for image processing, with the
propitious outcome, and enormous potential. A computer vision has been strongly adopted …

Effective screening of COVID-19 cases has been becoming extremely important to mitigate
and stop the quick spread of the disease during the current period of COVID-19 pandemic …

Deep learning models, especially deep convolutional neural networks (CNNs), have been
intensively investigated for hyperspectral image (HSI) classification due to their powerful …

Scene classification has been proved to be an effective method for high spatial resolution
(HSR) remote sensing image semantic interpretation. The probabilistic topic model (PTM) …

The intensive care unit (ICU) admits the most seriously ill patients requiring extensive
monitoring. Early ICU mortality prediction is crucial for identifying patients who are at great …

Multimedia data mining, particularly feature selection (FS), has been successfully applied in
recent classification and recognition works. However, only a few studies in the contemporary …

The advance of computer graphics techniques comes revolutionizing games and movie's
industries. Creating very realistic characters totally from computer graphics models is …

In this paper, we explore transformed spaces, represented by image illuminant maps, to
propose a methodology for selecting complementary forms of characterizing visual …

Fruit flies has a big biological and economic importance for the farming of different tropical
and subtropical countries in the World. Specifically in Brazil, third largest fruit producer in the …

This paper proposes the use of posterior-adapted class-based weighted decision fusion to
effectively combine multiple accelerometer data for improving physical activity recognition …