In high-dimensional datasets where the number of covariates far exceeds observations, most popular prediction methods make strong modeling assumptions. Unfortunately, these struggle to scale up in model complexity as observations grows. To this end, we consider using neural networks because they span a wide range capacities, from sparse linear models deep networks. Because are notoriously tedio...

The high-performance computing paradigm needs high-speed switching fabrics to meet the heavy traffic generated by their applications. These are efficiently driven deployed scheduling algorithms. In this paper, we proposed two algorithms for input queued switches whose operations based on ranking procedures. At first, a Simple 2-Bit (S2B) scheme which uses binary procedure and queue size packets...

This paper investigates the optimized parameters for the tuned liquid column dampers to decrease the earthquake vibrations of high-rise buildings. Considering soil effects, the soilstructure interaction (SSI) is involved in this model. The Tuned Liquid Column Damper (TLCD) is also utilized on the roof of the building. Since the TLCD is a nonlinear device, the time domain analysis based on nonli...

In the present research, three different architectures were investigated to predict the coefficients of the Daubert and Danner equation for calculation of saturated liquid density. The first architecture with 4 network input parameters including critical temperature, critical pressure, critical volume and molecular weight, the second architecture with 6 network input parameters including the on...

flapping-wing robotic insects are small, highly maneuverable flying robots inspired by biologicalinsects and useful for a wide range of tasks, including exploration, environmental monitoring, searchand rescue, and surveillance. recently, robotic insects driven by piezoelectric actuators have achievedthe important goal of taking off with external power; however, fully autonomous operation requir...

this paper presets a method including a combination of the wavelet transform and fuzzy function approximation (ffa) for high impedance fault (hif) detection in distribution electricity network. discrete wavelet transform (dwt) has been used in this paper as a tool for signal analysis. with studying different types of mother signals, detail types and feeder signal, the best case is selected. the...