Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
A split quaternion learning algorithm for the training of nonlinear finite impulse response filters for the modelling of hypercomplex signals is proposed. A rigorous derivation ...
Bukhari Che Ujang, Clive Cheong Took, Alek Kavcic,...
— we propose a novel multicast scheme that can provide quality-of-service (QoS) to multicast service over IEEE 802.11 wireless LANs by utilizing MAC layer relay. We develop the d...
Abstract. We describe OBDD-based symbolic model checking algorithms for simply-timed systems, i.e. finite state graphs where transitions carry a duration. These durations can be a...
With today's demands for continuous availability of mission-critical databases, on-line reorganization is a necessity. In this paper we present a new on-Iine reorganization a...