From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

During the last two decades there has been a growing interest in Particle Filtering (PF).
However, PF suffers from two long-standing problems that are referred to as sample …

As one of the most important issues in the field of mobile robotics, self-localization allows a
mobile robot to identify and keep track of its own position and orientation as the robot moves …

The Particle Swarm Optimization (PSO) algorithm, as one of the latest algorithms inspired
from the nature, was introduced in the mid 1990s and since then, it has been utilized as an …

In this article, we present a general optimization framework that leverages structured sparsity
to achieve superior recovery results. The traditional method for solving the structured sparse …

Presently, sensor-cloud based environment becomes highly beneficial due to its
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …

As a commonly encountered problem in the particle filters (PFs), the particle impoverishment
is caused partially by the reduction of particle diversity after resampling. In this paper, a …

Particle swarm optimization (PSO), like other population-based meta-heuristics, is
intrinsically parallel and can be effectively implemented on Graphics Processing Units …

Medical image fusion is a technique that maps information from multiple image modalities
into a single image. In past, several multimodal fusion approaches were developed by …