Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

The diagnosis of blood-related diseases involves the identification and characterization of a
patient's blood sample. As such, automated methods for detecting and classifying the types …

For years, extensive research has been in the binarization of continuous metaheuristics for
solving binary-domain combinatorial problems. This paper is a continuation of a previous …

DNA microarray technology is the fabrication of a single chip to contain a thousand genetic
codes. Each microarray experiment can analyze many thousands of genes in parallel. The …

Feature selection problem is one of the most significant issues in data classification. The
purpose of feature selection is selection of the least number of features in order to increase …

Due to the presence of irrelevant or redundant data in microarray datasets, capturing
potential patterns accurately and directly via existing models is difficult. Feature selection …

Ensemble technique and under-sampling technique are both effective tools used for
imbalanced dataset classification problems. In this paper, a novel ensemble method …

Abstract Background and Objective Mobility of subject (MoS) and muscle contraction force
variation (MCFV) have been shown to individually degrade the performance of multiple …

The recently evolving remote healthcare technology could potentially aid the realization of
cost-effective and lasting solutions to life-threatening diseases such as heart failure. Such a …

The constantly rising number of limb stroke survivors and amputees has motivated the
development of intelligent prosthetic/rehabilitation devices for their arm function restoration …