With the advent of Grid computing, more and more highend computational resources become available for use to a scientist. While this opens up new avenues for scientific research,...
While it provides the unprecedented processing power to solve many large scale computational problems, GRID, if abused, has the potential to easily be used to launch (for instance...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
Computational grids offer users a simple access to tremendous computer resources for solving large scale computing problems. Traditional performance analysis of scheduling algorit...