Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …

Inspired by the life philosophy, an ingenious gate (membership) function, which can mimic
the open and close of the gate in the real world, is proposed to realize feature selection (FS) …

A major limitation of fuzzy or neuro-fuzzy systems is their failure to deal with high-
dimensional datasets. This happens primarily due to the use of T-norm, particularly, product …

Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in develo** countries. There are …

Seagull optimization algorithm (SOA) is a recent bio-inspired technique utilized to improve
the constrained large-scale problems in low computational cost and quick convergence …

Unsupervised feature selection is one of the efficient approaches to reduce the dimension of
unlabeled high-dimensional data. We present a novel adaptive autoencoder with …

Artificial intelligence (AI) often relies on feature selection (FS) to recognize and highlight the
most relevant and major features in a dataset. The procedure of training and optimizing AI …

Feature selection is important in both machine learning and pattern recognition.
Successfully selecting informative features can significantly increase learning accuracy and …

In emergency situations, such as earthquakes, landslides and other natural disasters, the
terrestrial communications infrastructure is severely disrupted and unable to provide …

Feature selection (FS) methods are necessary to develop intelligent analysis tools that
require data preprocessing and enhancing the performance of the machine learning …