This paper describes the adaptation of a modern compiler construction course to target an FPGA-based hardware platform used throughout our computer science curriculum. One of the ...
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Recent advances in gesture recognition made the problem of controlling a humanoid robot in the most natural possible way an interesting challenge. Learning from Demonstration fie...
Abstract—Jamming attacks and unintentional radio interference are one of the most urgent threats harming the dependability of wireless communication and endangering the successfu...
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...