Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Self-adaptive software continually evaluates and modifies its own behavior to meet changing demands. One of the key issues in constructing such software is that of planning when a...
Dynamic criminal network analysis is important for national security but also very challenging. However, little research has been done in this area. In this paper we propose to use...
Jennifer Jie Xu, Byron Marshall, Siddharth Kaza, H...