background road traffic accidents and their related deaths have become a major concern, particularly in developing countries. iran has adopted a series of policies and interventions to control the high number of accidents occurring over the past few years. in this study we used a time series model to understand the trend of accidents, and ascertain the viability of applying arima models on data...

sulfur dioxide has two important sources in the atmosphere and this is why most of scientists believe in a geographic split in the globe. power plants, major emitter of so2, are located in north hemisphere such as in russia, china, canada and the usa. in south hemisphere, phytoplankton produces a massive amount of dimethyl sulfide (dms) and dimethyl disulfide (dmds). then these types of reduced...

in the management of river basins, prediction of river water quality is essential to maintain water quality within standard limits. this study performed a time-series analysis of the prediction of chlorine concentration and electrical conductivity time series data for the period of 1991-2005 from sefidrood river in northern iran. the seasonal prediction of chlorine and electrical conductivity t...

background: the malaria early warning system is defined as the use of prognostic variables for predicting the occurrence of malaria epidemics several months in advance. the principal objective of this study was to provide a malaria prediction model by using meteorological variables and historical malaria morbidity data for malaria-en­demic areas in south eastern iran. methods: a total of 2002 l...

high‑intensity focused ultrasound (hifu) is a novel treatment modality used by scientists and clinicians in the recent decades. this modality has had a great and significant success as a noninvasive surgery technique applicable in tissue ablation therapy and cancer treatment. in this study, radio frequency (rf) ultrasound signals were acquired and registered in three stages of before, during, a...

abstract autoregressive integrated moving average (arima) has been one of the widely used linear models in time series forecasting during the past three decades. recent studies revealed the superiority of artificial neural network (ann) over traditional linear models in forecasting. but neither arima nor anns can be adequate in modeling and forecasting time series since the first model cannot d...