Bioinformatics is a noteworthy in appreciative the composite mechanisms of the cell and it is
very beneficial for biomedical investigators to examination the clinical samples …

In a dynamic environment, the data collected from real applications varies not only with the
amount of objects but also with the number of features, which will result in continuous …

Abstract To make Quantitative Radiology (QR) a reality in radiological practice,
computerized body-wide Automatic Anatomy Recognition (AAR) becomes essential. With …

Abstract The Multi-Granulation Decision-Theoretic Rough Set (MG-DTRS) is an effective
method for cost-sensitive decision making from multi-view and multi-level. However, the …

Natural computation, motivated by the organic game arrangement, is a knowledge base field
that formalizes the measurements seen in living organic entities to plan machine techniques …

In many practical situations, some of the attribute values for an object may be set-valued.
The existing crisp rough set model for set-valued information systems is based on a …

Gene expression data clustering is one of the important tasks of functional genomics as it
provides a powerful tool for studying functional relationships of genes in a biological …

The selection of relevant and significant features is an important problem particularly for data
sets with large number of features. In this regard, a new feature selection algorithm is …

This research adapted and implemented an algorithm for commanding using speech
recognition in ARABIC language in addition to English, and the ability to train the system …

Image segmentation is an important prerequisite step for any automatic clinical analysis
technique. It assists in visualization of human tissues, as accurate delineation of medical …