Human posture recognition has recently attracted a significant attention from the computer
vision community. However, as in any pattern recognition problem, the features extracted …

This article proposes a deep feature map-based fuzzy neural classification network (DFM-
FNCN) with applications to shape-based classification problems. The DFM-FNCN is …

Over the years, the continuous development of new technology has promoted research in
the field of posture recognition and also made the application field of posture recognition …

The problem with using microarray technology to detect diseases is that not each is
analytically necessary. The presence of non-essential gene data adds a computing load to …

Based to statistics, about 80 percent of the population follows incorrect sitting posture. From
the year 2020, due to the Covid-19 curfew, the traditional work office of many professionals …

Human Posture estimation is a field which gathers huge researchers interest due to its
variations in different machine learning (ML) & deep learning (DL) architectures to estimate …

Recent years have seen widespread application of crowd counting and detection
technology in areas as varied as urban preventing crime, station crowd statistics, and people …