A definition of reliability appropriate for systems containing significant software that includes trustworthiness and is independent of requirements will be stated and argued for. The systems addressed will encompass the entire product development process as well as both product and its documentation. Cost incurred as a result of faults will be shown to be appropriate as a performance measureme...

Abstract Drought stress under a changing climate can significantly affect agricultural production. Simulation of soil water dynamics in field conditions becomes necessary to understand changes develop irrigation guidelines. In this study, three models including Auto-Regressive Integrated Moving Average (ARIMA), Back-Propagation Artificial Neural Network (BP-ANN), and Least Squares Support Vecto...

Flooding is the most common natural disaster and continues to increase in frequency intensity due climate changes [7]. Currently, there a lack of efficient tools predict flooding. This research aimed create Time Series Machine Learning (ML) program using Auto Regressive Moving Average (ARIMA) models forecast streamflow, one prominent factors flood prediction. A streamflow dataset from Ganges Ri...

The establishment of Christmas tree plantations over the last 50 years in Greece has provided an additional income for the inhabitants of certain mountainous and semi-mountainous regions of the country and contributed to their development. In this paper is used a neural network which combined with ARIMA which makes forecast of number of actually cut Christmas trees until the year 2015.

This paper examines the forecasting performance of ARIMA and artificial neural networks model with published stock data obtained from New York Stock Exchange. The empirical results obtained reveal the superiority of neural networks model over ARIMA model. The findings further resolve and clarify contradictory opinions reported in literature over the superiority of neural networks and ARIMA mode...

Background: In India, the dairy business is expanding dramatically. Tamil Nadu milk cooperatives significantly contribute to growth of sector in state. terms delivering economic income for smallholders and satisfying customer demand, identification production one primary financial operations made India. Considering this, it crucial understand future enhance sustain sector’s development. Methods...

One of the most natural and primary ways of data collection in wireless sensor networks is to periodically report sensed data values from sensor node to aggregator. However, this kind of data collection mechanism comes at the cost of power consumption and packet collision. In this paper, we developed an automatic ARIMA (Auto Regressive Integrated Moving Average) modeling based data aggregation ...

Coronavirus disease (Covid-19) caused millions of confirmed cases and thousands deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early control the spread this rapidly expanding pandemic. Therefore, research, a new customized hybrid model consisting Back Propagation-Based Artificial Neural Network (BP-ANN), Correlated Additive Model (CAM) Auto...

time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. forecasting accuracy is one of the most important features of forecasting models. nowadays, despite the numerous time series forecasting models which have been proposed in several past decades, it is widely recognized that financial markets are extremely difficult to ...

in this study, the situation of iran, u.s and turkey's pistachio export is investigated. to this purpose, revealed comparative advantage (rca) index is calculated based on agricultural and total economy export, separately, then forecasted by using auto- regressive integrated moving average (arima) approached, for 2008-2013. the results show that considering both commodity baskets, turkey and ir...