Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …

The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …

Hybrid metaheuristics are of the most interesting recent trends in optimization and memetic
algorithms. In this paper, two hybridization models are used to design different feature …

Cyber security has recently received enormous attention in today's security concerns, due to
the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks …

Background The COVID-19 pandemic has exposed the vulnerability of healthcare services
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …

Feature selection is an important preprocessing process in machine learning. It selects the
crucial features by removing irrelevant features or redundant features from the original …

The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

Feature selection (FS) is a critical step in data mining, and machine learning algorithms play
a crucial role in algorithms performance. It reduces the processing time and accuracy of the …

Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …