Satellite image segmentation is challenging due to the presence of weakly correlated and
ambiguous multiple regions of interest. Several bio-inspired algorithms were developed to …

Satellite images normally possess relatively narrow brightness value ranges necessitating
the requirement for contrast stretching, preserving the relevant details before further image …

Image segmentation is one of the most critical tasks in Magnetic Resonance (MR) images
analysis. Since the performance of most current image segmentation methods is suffered by …

The absence of dedicated vaccines or drugs makes the COVID-19 a global pandemic, and
early diagnosis can be an effective prevention mechanism. RT-PCR test is considered as …

For this paper, we explored the implementation of the cuckoo search algorithm applied to
the capacitated vehicle routing problem. The cuckoo search algorithm was implemented …

Microscopic images have the potential to talk about much precious information about the
internal structure of living organisms. But the naked eye is not always efficient enough to …

In this article, a new method is proposed for biomedical image segmentation. The proposed
method for biomedical image segmentation will be known as fuzzy modified cuckoo search …

Artificial Bee Colony (ABC) algorithm is one of the swarm intelligence algorithms; it has been
introduced by Karaboga in 2005. It is a meta-heuristic optimization search algorithm inspired …

At present many experts in the field of information technology have designed and developed
algorithms to solve stemming problems, especially in Arabic. But of the many stemming …

A varied applications of thresholding come into view these days. Considerable number of
approaches roll in for the determination of the thresholds such as Tsallis entropy, Kapur's …