Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …

Cloud computing represents relatively new paradigm of utilizing remote computing
resources and is becoming increasingly important and popular technology, that supports on …

Accurate classification of high-dimensional biomedical data highly depends on the efficient
recognition of the data's main features which can be used to assist diagnose related …

The feature selection is an essential data preprocessing stage in data mining. The core
principle of feature selection seems to be to pick a subset of possible features by excluding …

The fast-growing Internet results in massive amounts of text data. Due to the large volume of
the unstructured format of text data, extracting relevant information and its analysis becomes …

The early diagnosis of chronic diseases plays a vital role in the field of healthcare
communities and biomedical, where it is necessary for detecting the disease at an initial …

A large number of features lead to very high-dimensional data. The feature selection method
reduces the dimension of data, increases the performance of prediction, and reduces the …

Computer vision is one of the most frontier technologies in computer science. It is used to
build artificial systems to extract valuable information from images and has a broad range of …

Artificial neural networks are very powerful machine learning techniques and they are
capable to solve complex problems. In the artificial neural network, one of the most difficult …

In May 2022, monkeypox re-emerged as a rare zoonotic disease that is an important viral
disease for public health. Monkeypox can be transmitted from animals to humans, between …