Feature selection (FS) is considered to be a hard optimization problem in data mining and
some artificial intelligence fields. It is a process where rather than studying all of the features …

In the domain of image processing, image segmentation has become one of the key
application that is involved in most of the image based operations. Image segmentation …

Magnetic resonance imaging (MRI) is extensively exploited for more accurate pathological
changes as well as diagnosis. Conversely, MRI suffers from various shortcomings such as …

Feature selection (FS) is used to solve hard optimization problems in artificial intelligence
and data mining. In the FS process, some, rather than all of the features of a dataset are …

Microscopic images are often corrupted by noise, where Poisson noise is one of the major
types that can damage them. The local polynomial approximation (LPA) filter supported by …

Breast cancer is the biggest curse for the women society in the world since the survival factor
of the infected patients is ensured only when it is detected at the early localized stage. The …

Traffic congestion in cities is a major problem mainly in develo** countries; to encounter
this, many models of traffic system have been proposed by different scholars. Different ways …

In this paper, Monarch Butterfly Optimization Algorithm (MBO) based on migration behavior
has been proposed to find best optimal values of PID parameters for the AVR system. This …

In this article, Load Frequency Control (LFC) of three area unequal interconnected thermal,
wind and Hydro power generating units has been developed with Proportional-Integral (PI) …

Video segmentation plays an essential role in digital video processing, pattern recognition,
security, video conferencing, etc. The convenience of the video is based on its content which …