Identification of support vector machines for runoff modelling

Identification areas with inundation potential for urban runoff harvesting using the support vector machine model

     Rainfall-runoff from urban areas is one of the available water resources, which is wasted due to lack of attention and proper management. Besides, urban runoff excess of drains capacity causing many problems including inundation and urban environmental pollution. Therefore, harvesting this runoff can provide a part of the required water in urban areas, and also reduce flood and urban inund...

Support Vector Machines for MicroRNA Identification

This technical report provides an overview on the support vector machines that have been designed during the recent years for the identification of microRNA sequences. Our aim is to arrive in the end to identify potential ways in which the quality of such machine learning methods could be further improved, knowing that the rate of false positves they produce is still too high.

Support Vector Machines for System Identification

Using Support Vector Machines for MiRNA Identification

Using Support Vector Machines for MiRNA Identification

STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

Establishment of rating curves are often required by the hydrologists for flow estimates in the streams, rivers etc. Measurement of discharge in a river is a time-consuming, expensive, and difficult process and the conventional approach of regression analysis of stage-discharge relation does not provide encouraging results especially during the floods. P