The main goal of machine learning is the creation of self-learning algorithms in many areas
of human activity. It allows a replacement of a person with artificial intelligence in seeking to …

Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …

Interval time series forecasting can be used for forecasting special symbolic data comprising
lower and upper bounds and plays an important role in handling the complexity, instability …

The electronic nose is an odor detection instrument utilizing the bionic olfactory theory, and
usually consisting of a gas sensor array and an odor recognition algorithm. Traditional odor …

A variety of advanced machine learning and deep learning algorithms achieve state-of-the-
art performance on various temporal processing tasks. However, these methods are heavily …

In the last decade, deep learning (DL) has witnessed excellent performances on a variety of
problems, including speech recognition, object recognition, detection, and natural language …

In the past few decades, a large number of time series classification (TSC) algorithms have
been published based on different class pattern hypotheses, among which a vital …

Inspired by the nervous system working mechanism of a biological brain, brain-like
intelligence has been a research frontier in the field of artificial intelligence. Under external …

Time Series Classification (TSC) is a crucial area in machine learning. Although applications
of Deep Neural Networks (DNNs) in this area have led to relatively good results, classifying …

The external interference can hamper the normal function of neuromorphic hardware under
complex noise environment. Therefore, the study of brain-like models with anti-interference …