Cone beam CT scanners use much less radiation than to normal CT scans. However, compared to normal CT scans the images are noisy, showing several artifacts. The UNet Convolutional Neural Network may provide a way to reconstruct the a CT image from cone beam scans.

BACKGROUND: In critically ill patients, auscultation might be challenging as dorsal lung fields are difficult to reach in supine-positioned patients, and the environment is often noisy. In recent years, clinicians have started to consider lung ultrasound as a useful diagnostic tool for a variety of pulmonary …

The estimation of the pose of a differential drive mobile robot from noisy odometer, compass and beacon distance measurements is studied. The estimation problem, which is a state estimation problem with unknown input, is reformulated into a state estimation problem with known input and a process noise …

Safety at work The objective of the project Safety at Work is to increase safety at the workplace by applying and combining state of the art artefacts from personal protective equipment and ambient intelligence technology. In this state of the art document we focus on the developments with respect to …

This paper describes segmentation based on motion. A group of (connected) pixels that move together is assumed to belong to one object. One advantage of using otion is that an object that consists of different parts is detected as one object, whereas f for instance colour differences are used the same …

Information dominance and superiority and network centric warfare are terms that have become part of the lexicon associated with the transformation of the military force in the 21st century. Also well-known are the four tenets of network centric warfare: 1. Arobustly networked force improves information …