Export increases the total demand in society, which turn level of income and more through multiplier. This study investigates from an empirical point view determinants affecting Sudan’s exports during period (1977- 2018). The purpose was to identify interrelation between variables findings can be used for development economy. data obtained annual time series World Bank; input into Auto regressi...

COND In order to construct a motion model for the endoscope camera that moves freely in the 3D tracheo-bronchial tree, a second order auto-regressive (AR) model is used. For a Kthorder auto-regressive model, the following equation applies: Flexible fiber-optic bronchoscopy is performed on patients who are fully awake or with light conscious sedation. The procedure can entail considerable discom...

A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...

this paper presents an auto-regressive network called the Auto-Regressive Multi-Context Recurrent Neural Network (ARMCRN), which forecasts the daily peak load for two large power plant systems. The auto-regressive network is a combination of both recurrent and non-recurrent networks. Weather component variables are the key elements in forecasting because any change in these variables affects th...

Stated in its most basic form, the objective of damage diagnosis is to ascertain simply if damage is present or not based on measured dynamic characteristics of a system to be monitored. In reality, structures are subject to changing environmental and operational conditions that affect measured signals, and environmental and operational variations of the system can often mask subtle changes in ...

this article analyses the effects of foreign exchange commitment and exchange rate unification policies on iran’s non-oil exports during the last three decades. in addition, the effects of these policies on non-oil exports have empirically been estimated. for this purpose, an export supply model was estimated using the econometrics technique of auto regressive distributed lag (ardl) and reliabl...

Abstract Auto-regressive extractive summarization approaches determine sentence extraction probability conditioning on previous decisions by maintaining a partial summary representation. Despite its popularity, the framework has two main drawbacks: 1) representation is irresolutely denoted weighted summation of all processed sentences without any filtering, resulting in noisy and degrading effe...