The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
Previous research suggests that bilinguals presented with low and high predictability sentences benefit from semantics in clear but not in conversational speech [1]. In everyday s...
Marco van de Ven, Benjamin V. Tucker, Mirjam Ernes...
The recent trend in the processor industry of packing multiple processor cores in a chip has increased the importance of automatic techniques for extracting thread level paralleli...
Easwaran Raman, Neil Vachharajani, Ram Rangan, Dav...