Objectives Identifying an appropriate set of predictors for the outcome of interest is a major
challenge in clinical prediction research. The aim of this study was to show the application of …

Feature selection (FS) is an important component of many pattern recognition tasks. In these
tasks, one is often confronted with very high-dimensional data. FS algorithms are designed …

Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

This paper presents a framework of discriminative least squares regression (LSR) for
multiclass classification and feature selection. The core idea is to enlarge the distance …

The development in materials technology has produced stronger, lighter, stiffer, and more
durable electrically insulating composites which are replacing metals in many applications …

Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …

Web page classification is an important research direction on web mining. The abundant
amount of data available on the web makes it essential to develop efficient and robust …

Abstract “Solar photovoltaic (PV) energy in GCC”-the term seems convincing to many solar
PV industries due to high solar exposure in GCC region. However, long-term effects such as …

Data-driven fault diagnosis techniques are significant for the stable operation of nuclear
power plants (NPPs). However, in practical applications, the fault diagnosis of NPPs usually …

Medical data contain very valuable information which can save many lives if it is analyzed
and utilized efficiently. Efficient analysis of this large volume of data demands the right …