Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
This work presents a case of an innovative Brazilian experience of use of free software in public administration as an emergent ecosystem, and the attempt to establish a quality f...
Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches t...
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
We present change blindness redirection, a novel technique for allowing the user to walk through an immersive virtual environment that is considerably larger than the available ph...
Evan A. Suma, Seth Clark, David M. Krum, Samantha ...