Considering the fact that Iran is situated in an arid and semi-arid region, rainfall prediction for the management of water resources is very important and necessary. Researchers have proposed various prediction methods that have been utilized in such areas as water and meteorology, especially water resources management. The present study aimed at predicting rainfall amounts using Grey Predicti...

High blood pressure (BP) is associated with an increased risk of cardiovascular diseases. Therefore, optimal precision in measurement of BP is appropriate in clinical and research studies. In this work, anthropometric characteristics including age, height, weight, body mass index (BMI), and arm circumference (AC) were used as independent predictor variables for the prediction of BP reactivity t...

PURPOSE To prospectively evaluate the no-history method for intraocular lens (IOL) power calculation in 15 cataractous eyes that had previous myopic laser in situ keratomileusis (LASIK) and for which the pre-LASIK K-readings were not available. SETTING Private practice, Lynwood, California, USA. METHODS The predicted IOL power was calculated in each case. Also calculated were the mean arith...

Multiplicative regression model or accelerated failure time model, which becomes linear regression model after logarithmic transformation, is useful in analyzing data with positive responses, such as stock prices or life times, that are particularly common in economic/financial or biomedical studies. Least squares or least absolute deviation are among the most widely used criterions in statisti...

A flood is an overflow of water and becomes the common natural disaster. Prediction of a flood is one of the challenges for disaster management around the world especially in developing countries. Thus, more accurate flood prediction models have been investigated according to the geographical locations. In this paper, we have studied and compared some useful machine learning models such as KNN,...

For proper planning and optimisation of radio network coverage quality at the mobile station terminals, prediction of propagation path loss with reasonable accuracy is important. This research work proposes the application of a hybrid neural modelling technique to predict of signal coverage propagation losses in typical urban environment. The modelling technique is based on combining a conventi...

In this paper, we quantitatively compare the forecasts from four different mortality models. We consider one discrete-time model proposed by Lee and Carter (1992) and three continuous-time models: the Wills and Sherris (2011) model, the Feller process and the Ornstein-Uhlenbeck (OU) process. The first two models estimate the whole surface of mortality simultaneously, while in the latter two, ea...

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...

Two different classes of quality measures are discussed and compared: absolute and relative measures. The relative class to which the prediction error belongs has many different approximations and equivalents, like the spectral distortion and the likelihood ratio. This measure is based on time series theory and can be written as a relative error in the frequency domain. It is useful in many app...