In recent decades, microarray datasets have played an important role in triple negative
breast cancer (TNBC) detection. Microarray data classification is a challenging process due …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for
diagnostic prediction over the years. This article focuses on the development of an …

Face recognition is required in various applications, and major progress has been
witnessed in this area. Many face recognition algorithms have been proposed thus far; …

In order to improve face recognition accuracy, an IFC face recognition algorithm based on
image feature compensation strategy for face recognition is proposed in this paper. The …

The damaged areas of brain tissues can be extracted by using segmentation methods, most
of which are based on the integration of machine learning and data mining techniques. An …

A medical center in the smart cities of the future needs data security and confidentiality to
treat patients accurately. One mechanism for sending medical data is to send information to …

Face recognition systems have been widely applied in various scenarios in people's daily
lives. The recognition rate and speed of face recognition systems have always been the two …

Nowadays, many attendance applications utilise biometric techniques such as the face,
fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to …

Three-dimensional (3D) image and medical image processing, which are considered big
data analysis, have attracted significant attention during the last few years. To this end …