There is a growing need for distributed teams to analyze complex and dynamic data streams and make critical decisions under time pressure. Via a case study, we discuss potential g...
Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon...
Communication networks are growing exponentially, and new services and applications are being introduced unceasingly. To meet the demands of these services and applications, curre...
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
—In this paper, we present a composite hypothesis testing approach for cooperative spectrum sensing. We derive the optimal likelihood ratio test (LRT) statistic based on the Neym...