Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

With the advancement of software systems, the reliance on humans and their judgments has
decreased, resulting in an increase in the use of computational intelligence. As a result of …

Data clustering is a commonly used data processing technique in many fields, which divides
objects into different clusters in terms of some similarity measure between data points …

Image segmentation is an essential phase of computer vision in which useful information is
extracted from an image that can range from finding objects while moving across a room to …

The resilience of interdependent critical infrastructure systems (ICISs) is critical for the
functioning of society and the economy. ICISs such as power grids and telecommunication …

Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Introduction: Intersections are the most dangerous locations in urban traffic. The present
study aims to investigate drivers' visual scanning behavior at signalized and unsignalized …

With the increasingly widespread of advanced metering infrastructure, electric load
clustering is becoming more essential for its great potential in analytics of consumers' …

Clustering has been widely employed for extracting intrinsic groups because of its low
reliance on domain knowledge. Though several clustering techniques have been developed …