This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …

Breast cancer is the most common cancer diagnosed and cause of death among women
worldwide. There is evidence that early detection and treatment can increase the survival …

Image classification is one of the typical computational applications widely used in the
medical field especially for abnormality detection in Magnetic Resonance (MR) brain …

The segmentation of brain tumors in magnetic resonance images (MRI) is a challenging and
difficult task because of the variety of their possible shapes, locations, image intensities. In …

The start-up transient signals have been widely used for fault diagnosis of induction motor
because they can reveal early defects in the development process, which are not easily …

For reliable driving assistance or automated driving, pedestrian detection must be robust
and performed in real time. In pedestrian detection, a linear support vector machine (linSVM) …

An accurate and noninvasive stress assessment from human physiology is a strenuous task.
In this paper, a pattern recognition system to learn complex correlates between heart rate …

Quality control of essential oils is an important topic in industrial processing of medicinal and
aromatic plants. In this paper, the performance of Fuzzy Adaptive Resonant Theory Map …

In the modern world of automation, biological signals, especially Electroencephalogram
(EEG) and Electrocardiogram (ECG), are gaining wide attention as a source of biometric …

A novel intelligent fault diagnosis method based on feature extraction methods, features
selection using modified distance discriminant technique and selective ensemble of multiple …