This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
The paper attempted the recognition of multiple drivers’ emotional state from physiological signals. The major challenge of the research is due to the severe inter-driver variat...
In this article we propose a novel scheme based on virtually scaling-free COordinate Rotation DIgital Computer (CORDIC) algorithm to design a hardware efficient CORDIC rotator. Fo...
Koushik Maharatna, Karim El-Shabrawy, Bashir M. Al...
—This paper presents the initial evaluation of a novel network device being located in edge nodes. It provides relaxed QoS guarantees to certain flows on a congested link by foc...
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...