In the healthcare sector, the growth in technology has had a huge effect. Besides, when
introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by …

Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …

Since the outbreak of COVID-19, it has seriously endangered the health of human beings.
Computer automatic segmentation of COVID-19 X-ray images is an important means to …

In this paper, the control of robotic manipulators (RMs) is studied. The RMs are widely used
in industry. The RMs are multi-input-multi-output systems, and their dynamics are highly …

Picture fuzzy sets (PFSs) with four dimensions of positive, neutral, negative, and rejection
have more advantages in representing and evaluating ambiguous information than …

Artificial neural network is revolutionizing business and everyday life, bringing us to the next
level in artificial intelligence. It has a unique ability to extract meaning from complex data to …

Assessment specialists (experts) are sometimes expected to provide two types of
information: knowledge of rating domains and the performance of rating objects (called …

Electroencephalogram (EEG) signals have emerged as an important tool for emotion
research due to their objective reflection of real emotional states. Deep learning-based EEG …

Human action recognition is an essential process in surveillance video analysis, which is
used to understand the behavior of people to ensure safety. Most of the existing methods for …

Physical exercise has beneficial effects on adult hippocampal neurogenesis (AHN) and
cognitive processes, including learning. Although it is not known if anaerobic resistance …