drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. mathematical modelling is one of the possible solutions to speed up this process. in this study, we have presented box-jenkins model, to predict the vasorelaxant activity (pec50) of a set of benzopyrane compounds. we used the hyperchem sof...

Although there are many ways to deploy the Jenkins open-source automation server on Amazon Web Services (AWS), this whitepaper focuses on two specific approaches. First, the traditional deployment on top of Amazon Elastic Compute Cloud (Amazon EC2). Second, the containerized deployment that leverages Amazon EC2 Container Service (Amazon ECS). These approaches enable customers to take advantage ...

The well-known Box-Jenkins’ Autoregressive Integrated Moving Average (ARIMA) methodology for fitting time-series data has some major limitations. To this end, Exponential Autoregressive (EXPAR) family of models may be employed. An important characteristic feature of EXPAR is that it is capable of modelling those data sets that depict cyclical variations. Further, it can also be used when data s...

In this job, short-term forecasts are calculated for the Energy Price in the Electricity Production Market of Spain. The methodology used to achieve these forecasts is based on Artificial Neural Networks, which have been used succesfully in recent years in many forecasting applications. To gauge the quality of forecasts, they have been compared with those obtained with the Box-Jenkins ARIMA mod...

The evapotranspiration rate has a vital role in agricultural water management. In this paper, ability of Box-Jenkins models in forecasting the reference potential evapotranspiration is estimated. For this purpose meteorological data of Mehrabad synoptic station in Tehran was selected. Using this data and according to eight famous evapotranspiration equations amounts of evapotranspiration were f...