Breast cancer has replaced lung cancer as the most prevalent malignancy threatening
human health. Early breast screening can help improve treatment success and reduce the …

Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …

Breast cancer is the most diagnosed cancer in Australia with crude incidence rates
increasing drastically from 62.8 at ages 35-39 to 271.4 at ages 50-54 (cases per 100,000 …

Machine learning and data mining have established several effective applications in gene
selection analysis. This paper review semi-supervised learning algorithms and gene …

Breast mass identification is a crucial procedure during mammogram-based early breast
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …

The techniques of machine learning are commonly used in classifying breast lesions, as
they can improve the mammogram accuracy in detecting malignant masses. One of the top …

The increase in the data available attracted the concern of clustering approaches to
integrate them coherently and to identify patterns for big data. Hence, Meta-Heuristic …

Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …

Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …