Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …

Microarray data represents a valuable tool for the identification of biomarkers associated
with diseases and other biological conditions. Genes, in particular, are a type of biomarker …

Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …

Feature Selection (FS) reduces the number of features by removing unnecessary,
redundant, and noisy information while kee** a relatively decent classification accuracy …

Pneumonia is one of the major reasons for child mortality especially in income-deprived
regions of the world. Although it can be detected and treated with very less sophisticated …

The advancement of the smart grids (SGs) is enabling consumers to schedule home
appliances to respond to demand response programs (DRs) offered by distribution system …

The increased volume of medical datasets has produced high dimensional features,
negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is …

Recognition of human actions from visual contents is a budding field of computer vision and
image understanding. The problem with such a recognition system is the huge dimensions …

The rapid growth in biomedical datasets has generated high dimensionality features that
negatively impact machine learning classifiers. In machine learning, feature selection (FS) is …

Classification accuracy provided by a machine learning model depends a lot on the feature
set used in the learning process. Feature selection (FS) is an important and challenging …