Abstract: This study proposes an automated quantitative content analysis algorithm, implemented in Python, to optimize the item generation process of adolescent stressor measurement tools and to ...

Abstract: The obstacle-avoiding octilinear Steiner minimal tree (OAOSMT) problem aims to generate a Steiner tree using octilinear edges connecting a set of terminal vertices without overlapping any ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...