Profiting from the powerful feature extraction and representation capabilities of deep learning (DL), aerial image semantic segmentation based on deep neural networks (DNNs) has achieved remarkable success in recent years.Nevertheless, the security and robustness of DNNs deserve attention when dealing with safety-critical earth observation tasks.As

This article examines music in television commercials read more from a text analytical perspective.An analytical framework is presented involving three interrelated analytic levels: the text, the co-text and the con-text.The level of con-text is presented as a transtextual matter of the relationship between the music appearing in the television com

Intro: Controlling the spread of infectious diseases requires correctly targeting preventative resources.When poorly deployed, these resources are misspent and have an inefficient impact.In a dynamic environment where sources of outbreaks are ever-changing, how to optimally deploy these resources is difficult to identify and can moreover change ove

Introduction: The COVID-19 pandemic significantly changed the functioning of people around the world, one facet of such modifications was higher education.In addition to the classic stressors, there were new challenges that students coped with.Research Aim: This research aims to investigate the relationship between self-efficacy and psychological w