We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
Requirements engineering ranks as one of the most difficult and error-prone phases in the life cycle of devices such as mobile telephones. It is of critical importance because of ...
Precise digital 3D models of indoor environments are needed in several applications, e.g., facility management, architecture, rescue and inspection robotics. This paper presents a...
Abstract. In ubiquitous computing environments there are an increasing number and variety of devices that can generate context data. The challenge is to timely acquire, process, an...
In the VTT PLAMOS (Plant Model Services for Mobile Process Maintenance Engineer) project new tools were developed for modern maintenance work carried out in industrial plants by ei...