An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
The focus of the paper is on the logic of clarity and the problem of higherorder vagueness. We first examine the consequences of the notion of intransitivity of indiscriminabilit...
Distributed systems are hard to build, profile, debug, and test. Monitoring a distributed system – to detect and analyze bugs, test for regressions, identify fault-tolerance pr...
Multiprocessor SoCs are increasingly deployed in embedded systems with little or no security features built in. Code Injection attacks are one of the most commonly encountered sec...
Krutartha Patel, Sridevan Parameswaran, Seng Lin S...
— The phenomenal growth of the Internet in the last decade and society’s increasing dependence on it has brought along, a flood of security attacks on the networking and compu...