We present an adaptive, feedback-based, energy estimation model for battery-powered embedded devices such as sensor network gateways and hand-held computers. Our technique maps ha...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability reg...
This paper summarizes recent work reported at ICAPS on applying artificial intelligence techniques to the control of production printing equipment. Like many other real-world appl...
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...