Attenuation is often significant during seismic wave propagation in the subsurface, leading to reduced resolution and narrower bandwidth of images. Traditional corrections for such effects are inverse-Q filtering deconvolution, which require a high signal-to-noise ratio (SNR) avoid noise boost-up. Here, we propose time-domain method offering advantages interpretational quality resulting Similar...

The main purpose of this research is the study on effect of Financial and Operating Leverage and Venture Capital on Tobin's Q ratio amongst companies listed in Tehran Stock Exchange. In this research, the Holdings and Investment companies are used as statistical samples and 73 enterprises that are listed in Tehran Stock Exchange within 2001 to 2016 have been studied. The results driven by this ...

Field surveys in Zagros forests located in western Iran were done to study some aspects of biology and host range of Biscogniauxia mediterranea during 2014-2016. The ability of its conidia and ascospores to cause the disease was evaluated under greenhouse condition. Ascospore viability and development of anamorph and teleomorph were surveyed under different conditions. The pathogen host range w...

seismic waves travelling through inelastic media are attenuated by the conversion of elastic energy into heat. upon being attenuated, the travelling wave changes: amplitude is reduced, travelling waveform is modified due to high-frequency content absorption, and phase is delayed. attenuation is usually quantified through the quality factor q: the ratio between the energy stored and lost in each...

vspace{0.2cm}In this paper, we design a data structure for the following problem. Let $pi$ be an $x$-monotone trajectory with $n$ vertices in the plane and $epsilon >0$. We show how to preprocess $pi$ and $epsilon$ into a data structure such that for any horizontal query segment $Q$ in the plane, one can quickly determine the minimal continuous fraction of $pi$ whose Fr{'e}chet and Hausdo...

Because cities worldwide have high population concentration, traffic congestion is a key problem that needs to be addressed. As modern technology advances, smart management able collect data from the environment and uses contextual signal assignment determine flow at intersections improve conditions. In this paper, we propose green time allocation system based on deep Q-network (DQN) can maximi...