Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Lithium-ion battery manufacturing is a highly complicated process with strongly coupled
feature interdependencies; a feasible solution that can analyze feature variables within …

The growing number of attacks against cyber-physical systems in recent years elevates the
concern for cybersecurity of industrial control systems (ICSs). The current efforts of ICS …

Multiple sclerosis is a condition affecting brain and/or spinal cord. Based on deep learning,
this study aims to develop an improved convolutional neural network system. We collected …

Basketball is a sport that requires high athletes' skills and physical fitness and is deeply
loved by the people in our country. This paper studies the application of neural network …

In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …

Emotion recognition represents the position and motion of facial muscles. It contributes
significantly in many fields. Current approaches have not obtained good results. This paper …

Aim Emotion recognition based on facial expression is an important field in affective
computing. Current emotion recognition systems may suffer from two shortcomings …

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …