This paper describes the development of a software tool for detection of vulnerabilities in networked systems, using public available security resources. Our tool builds is knowle...
Abstract— In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such kn...
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
— A Mobile Ad-Hoc Network (MANET) is considered with nodes that may act selfishly or maliciously by simply dropping data packets rather than forwarding them. We study a distribu...
Arnab Das 0002, George Kesidis, Venkat Pothamsetty
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...