Artificial neural networks (ANNs) are flexible computing frameworks and universal approximators that can be applied to a wide range of time series forecasting problems with a high degree of accuracy. However, despite all advantages cited for artificial neural networks, their performance for some real time series is not satisfactory. Improving forecasting especially time series forecasting accur...

Cognitive radio requires real time monitoring of the spectrum to determine the frequency of transmission. Spectrum analysers tend to employ a slow frequency sweep and hence such measurements can only be used for modelling of the spectrum, which can provide vital information for frequency planning and management. Occupancy measurements every hour over a seven-day period were performed in the UK ...

Abstract Road traffic accidents (RTA) are commonly encountered incidents that can cause injuries, death, and property damage to members of society. Ethiopia is one the highest incident rates road accidents. Report Transport Communication from 2012 2014, shows an increment in number Ethiopia. Amhara region accounted for 27.3% total accident-related deaths during year 2008/9, which share among al...

Technology has revolutionized the way transactions are carried out in economies across world. India too witnessed introduction of numerous modes electronic payment past couple decades, including e-banking services, National Electronic Fund Transfer (NEFT), Real Time Gross Settlement (RTGS) and most recently Unified Payments Interface (UPI). While other mechanisms have a gradual consistent incre...

Present study seeks the generation of forecasts of number of units, employment, capital formation and production of small scale industrial sector of Punjab for ensuing decade till 2019-20.Forecasts have been generated for the lead time of thirteen years by using Auto Regressive Integrated Moving Average (ARIMA) model, based on identifying the pattern followed by past values of a each variable a...

This study aimed to contribute to the management of a healthcare organization by providing management information using time-series analysis of business data accumulated in the hospital information system, which has not been utilized thus far. In this study, we examined the performance of the prediction method using the auto-regressive integrated moving-average (ARIMA) model, using the business...

Objectives: Time series analysis techniques facilitate statistical analysis of variables in the course of time. Continuous monitoring of the critically ill in intensive care offers an especially wide range of applications. In an open clinical study time series analysis was applied to the monitoring of lab variables after liver surgery, and to support clinical decision making in the treatment of...

AIMS (i) To compare actual developments of alcohol-related harm in Sweden with estimates derived prior to major policy changes in 1995 and (ii) to estimate the effects on consumption and alcohol-related harm of reducing alcohol prices in Sweden. DESIGN Alcohol effect parameters expressing the strength of the relationship between overall alcohol consumption and different alcohol-related harms ...

There has been an increasing trend in the electric power system from a centralized generation-driven grid to a more reliable, environmental friendly, and customer-driven grid. One of the most important issues which the designers of smart grids need to deal with is to forecast the fluctuations of power demand and generation in order to make the power system facilities more flexible to the variab...