—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
The explosive growth of Internet during the last years has been reflected in the ever-increasing amount of the diversity and heterogeneity of user preferences, types and features ...
David Huerva, Jeimy Velez, Silvia Baldiris, Ram&oa...
The process of evaluating, classifying, and assigning bugs to programmers is a difficult and time consuming task which greatly depends on the quality of the bug report itself. It ...
In this study of eight outsourcing projects, we seek to understand the mechanisms that companies put in place to coordinate knowledge work across their boundaries. We find that m...
In this article we focus on the presentation of the inner structure of the database for the Content-Based Image Retrieval (CBIR) system containing house images. The part devoted t...
Although in recent years some progress in software engineering (SE) and human-computer interaction (HCI) has been made, there is still a gap between the two research areas and the...
An early prediction of resource utilization and its impact on system performance and reliability can reduce the overall system cost, by allowing early correction of detected probl...
Aida Causevic, Paul Pettersson, Cristina Cerschi S...
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...