The purpose of this study was to examine the results of the prediction of breast cancer,
which have been classified based on two types of breast cancer, malignant and benign. The …

Unimodal biometrics has several problems such as noisy data, intra class variation, inter
class similarities, non universality and spoofing which cause this system less accurate and …

In a multimodal biometric system, the effective fusion method is necessary for combining
information from various single modality systems. In this paper the performance of sum rule …

Breast cancer is one of the most pervasive forms of cancer and its inherent intra-and inter-
tumor heterogeneity contributes towards its poor prognosis. Multiple studies have reported …

The importance of normalizing biometric features or matching scores is understood in the
multimodal biometric case, but there is less attention to the unimodal case. Prior reports …

Who is the controls information, he can controls the world. Therefore, the students must be
able to process information into something useful for the learning process. The use of …

A critical task and a competitive research area is to secure networks against attacks. One of
the most popular security solutions is Intrusion Detection Systems (IDS). Machine learning …

Breast cancer is one of the most common cancer diseases in women. The rapid and
accurate diagnosis of breast cancer is of great significance for the treatment of cancer …

Immersive technologies offer the potential to drive engagement and create exciting
experiences. A better understanding of the emotional state of the user within immersive …

In a multimodal biometric system, the effective fusion method is necessary for combining
information from various single modality systems. In this paper we examined the …