Internet of Things (IoT) has emerged in many industries, such as health care, transportation,
agriculture, manufacturing, smart homes, to name a few. It paves the path for massive …

Emotions play a significant role in human life. Recognition of human emotions has
numerous tasks in recognizing the emotional features of speech signals. In this regard …

Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …

This paper aims to apply deep learning to identify autism spectrum disorder (ASD) patients
from a large brain imaging dataset based on the patients' brain activation patterns. The brain …

In the era of Internet of Things (IoT), millions of heterogeneous IoT devices generate an
explosion of data and services waiting to be discovered. The convergence of IoT with social …

Machine learning has achieved remarkable success across diverse domains. Nevertheless,
concerns about interpretability in black-box models, especially within Deep Neural Networks …

Recent advances in computer architecture and networking opened the opportunity for
parallelizing the clustering algorithms. This divide-and-conquer strategy often results in …

Abstract Convolutional Neural Networks are machine learning models that have proven
abilities in many variants of tasks. This powerful machine learning model sometimes suffers …

Heart disease is one of the significant causes of death all over the world. The Healthcare
industry produces a large amount of data; thus, heart disease prediction is becoming a …

Brain tumor segmentation is an essential process to diagnose and monitor the development
of cancerous cells in the brain. Conventional segmentation methods rely on experts who …