Artificial Neural Network (ANN) model along with Back Propagation Algorithm (BPA) has been applied in many fields, especially in hydrology and water resources management to simulate or forecast rainfall runoff process, discharge and water level time series, and other hydrological variables. Several researches have recently been focusing to compare the applicability of ANN model with other theor...

Abstract In this article, the performance evaluation of four univariate time-series forecasting techniques, namely Hyndman Khandakar-Seasonal Autoregressive Integrated Moving Average (HK-SARIMA), Non-Stationary Thomas-Fiering (NSTF), Yeo-Johnson Transformed (YJNSTF) and Seasonal Naïve (SN) method, is carried out. The techniques are applied to forecast rainfall time series stations located in Ke...

We have used the bacterial beta-galactosidase gene (lacZ) as a reporter gene for the rapid measurement of T-cell antigen receptor (TCR)-mediated activation of individual T cells. The reporter construct contained the lacZ gene under the control of the nuclear factor of activated T cells (NF-AT) element of the human interleukin 2 enhancer [Fiering, S., Northrop, J. P., Nolan, G. P., Matilla, P., ...

This paper describes the rainfall data generation processes, which were used to simplify the recharge model developed by Khazai and Spink. The principles of techniques used for single and two sites generation are discussed. The application of the techniques for extending the rainfall records at the existing stations and increasing arbitrarily the numbers of rain gauges within the catchment are ...

the necessity of using discharge data in hydrological designs and regional programming is an unavoidable matter. unfortunately, malfunctioning of observation instruments, natural disasters and other problems sometimes result in incomplete or missing data. having of data related to time series is necessary for every investigation about hydrometeorology. thus missing data should be estimated in a...