While action recognition has become an important line of research in computer vision, the
recognition of particular events, such as aggressive behaviors, or fights, has been relatively …

OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use
imaging and vision functions and is used in both academia and industry. As cameras …

Deep space missions can benefit from onboard image analysis. We demonstrate deep
learning inference to facilitate such analysis for future mission adoption. Traditional space flight …

Rail systems are highly complex and their control in real time requires mathematical–computational
tools. The main aim of these tools is to perform swift optimal rescheduling in …

This paper proposes an optimization model for high-speed railway scheduling. The model
is composed of two sub-models. The first is a discrete event simulation model which …

Future space missions can benefit from processing imagery on board to detect science
events, create insights, and respond autonomously. One of the challenges to this mission …

Microscopy scanners and artificial intelligence (AI) techniques have facilitated remarkable
advancements in biomedicine. Incorporating these advancements into clinical practice is, …

Star trackers are navigation sensors that are used for attitude determination of a satellite
relative to certain stars. A star tracker is required to be accurate and also consume as little …

Computer vision and deep learning are clearly demonstrating a capability to create engaging
cognitive applications and services. However, these applications have been mostly …

Background and Objective Digital scanners are being increasingly adopt-ed in anatomical
pathology, but there is still a lack of a standardized whole slide image (WSI) format. This …