The world's population is aging: the expansion of the older adult population with multiple
physical and health issues is now a huge socio-economic concern worldwide. Among these …

Feature extraction and selection from medical data are the basis of radiomics and image
biomarker discovery for various architectures, including convolutional neural networks …

The widespread acceptance and increase of the Internet and mobile technologies have
revolutionized our existence. On the other hand, the world is witnessing and suffering due to …

The use of a low-cost five-band multispectral camera (RedEdge, MicaSense, USA) and a
low-altitude airborne platform is investigated for the detection of plant stress caused by …

We propose a filtering feature selection framework that considers subsets of features as
paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) …

Pawlak rough set (PRS) and neighborhood rough set (NRS) are the two most common
rough set theoretical models. Although the PRS can use equivalence classes to represent …

Abstract Depression or Major Depressive Disorder (MDD) is a mental illness which
negatively affects how a person thinks, acts or feels. MDD has become a major disease …

Knowledge discovery of heterogeneous data is an active topic in knowledge engineering.
Feature selection for heterogeneous data is an important part of effective data analysis …

Surface electromyogram (sEMG)-based hand gesture recognition for prosthesis or armband
is an important application of the human–machine interface (HMI). However, the …

Classification is a fundamental task in the field of data mining. Unfortunately, high-
dimensional data often degrade the performance of classification. To solve this problem …