Predicting the Session of an P2P IPTV User through Support Vector Regression (SVR)

Application of Support Vector Machine Regression for Predicting Critical Responses of Flexible Pavements

This paper aims to assess the application of Support Vector Machine (SVM) regression in order to analysis flexible pavements. To this end, 10000 Four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

Tehran Stock Price Modeling and Forecasting Using Support Vector Regression (SVR) and Its Comparison with the Classic Model ARIMA

Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting

Hybridizing chaotic evolutionary algorithms with support vector regression (SVR) to improve forecasting accuracy is a hot topic in electricity load forecasting. Trapping at local optima and premature convergence are critical shortcomings of the tabu search (TS) algorithm. This paper investigates potential improvements of the TS algorithm by applying quantum computing mechanics to enhance the se...

Measuring P2P IPTV Systems

P2P IPTV systems start to be very popular on the Internet. Measuring the impact they have on the network and understanding their behavior is an important field. Available applications are based on proprietary solutions, thus traffic analysis is the only feasible way to identify the mechanisms used to get video streams. In this context, during the 2006 FIFA World Cup, we performed an extensive m...

Soil moisture estimation by using active microwave measurements and support vector regression (SVR)

In this study the capabilities of an empirical regression approach for retrieving land surface soil moisture were investigated, by combining time series of ASCAT observations and in-situ data. The Support Vector Regression (SVR) is a novel technique that is utilized for establishing a direct relationship between remote sensing observations and the geophysical parameter of interest. ASCAT series...