Breast cancer is mostly a female disease, but it may affect men as well even at a
considerably lower percentage. An automated diagnosis system should be built for early …

Recently, software defined networking (SDN) has been deployed extensively in diverse
practical domains, providing a new direction in network management by separating the …

In the last few years, a very huge development has occurred in medical techniques using
artificial intelligence tools, especially in the diagnosis field. One of the essential things is …

Partitioning or segmenting intensity inhomogeneity colour images is a challenging problem
in computer vision and image shape analysis. Given an input image, the active contour …

Variational selective image segmentation models aim to extract a particular object in an
image depending on a set of user-defined prior points. The current model suffers from high …

Variational active contour seeks to segment or extract desired object boundaries for further
analysis. The model can be divided into global segmentation and selective segmentation …

Variational active contour model (ACM) is used to segment or subdivide an image into the
desired object. This segmentation technique in region-based ACM can be divided into two …

Brain tumours are a deadly illness that kills many people. The earlier a brain tumour is
detected, the better the treatment, and the longer the patient lives. Artificial intelligence (AI) …

Informal processing of electronic waste has become one of the commonest sources of
employment in developing countries which has contracted a great impact on human health …

This research explores the synergistic effects of hybrid grid partitioning and the rough set
method for fuzzy rule generation in dataset classification. The aim is to improve the accuracy …