Workflow analysis is indispensable to capture modeling errors in workflow designs. While several workflow analysis approaches have been defined previously, these approaches do not...
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Over the 50 year history of discrete event simulation the growth in applications has been facilitated by some key advances in modeling that have simplified the process of building...
—A new lightweight planar parallel platform aims to greatly improve operational speed of electronic manufacturing process and to realize a “smart parallel platform” through t...
Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of the additional capacity offered by distributed resources and suitab...
Suraj Pandey, William Voorsluys, Mustafizur Rahman...