GenLOT coding has been shown an effective technique for seismic data compression, especially when compared to block-based algorithms (such as JPEG), or to wavelets. The transforms remove statistical redundancy and permit efficient compression, when used with advanced encoding techniques, such as the Embedded Zerotree Coding framework. In this work we derive a model for seismic data based on aut...

The Kingdom of Saudi Arabia is one the countries that seek to achieve sustainable development through Vision 2030. objective this research study impact digitization ensure competitiveness Ha’il region goals. To do this, we applied two techniques in steps. first step based on artificial intelligence a machine learning technique. second vector auto-regressive model and impulse response functions....

This paper empirically examines the direct and indirect effect of role democracy, and, in turn, oil dependence volatility on governmental expenditure exporting countries. To achieve this aim, we apply a panel Vector Auto-Regressive (PVAR) model along with impulse response functions from period 1983 to 2016. The findings show that quality political institutions, it is observed democratic countri...

With the global economic situation still uncertain and various businesses interconnected within finance system, financial hazards exhibit characteristics such as rapid propagation wide scope. Therefore, it is of great significance to analyze evolving changes patterns hazard overflow in industry construct a alert system. We adopt time-varying parameter vector auto-regressive model examine degree...

Switchgrass is known as one of the best second-generation lignocellulosic biomasses for bioethanol production. Designing efficient switchgrass-based bioethanol supply chain (SBSC) is an essential requirement for commercializing the bioethanol production from switchgrass. This paper presents a mixed integer linear programming (MILP) model to design SBSC in which bioethanol demand is under auto-r...

Vector auto-regressive (VAR) models typically form the basis for constructing directed graphical models for investigating connectivity in a brain network with brain regions of interest (ROIs) as nodes. There are limitations in the standard VAR models. The number of parameters in the VAR model increases quadratically with the number of ROIs and linearly with the order of the model and thus due t...

in this research, potential effects of oil and monetary policy shocks on economic growth of iran are examined and share of each of them on economic growth are calculated during 1974-2006 period and potential mutual effects of those shocks by using the vector auto regressive (var) model are analysed. results of this research show that oil shocks significantly affected the economic growth in iran...