In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence. As opposed to...
We investigate the global scheduling of sporadic, implicit deadline, real-time task systems on multiprocessor platforms. We provide a task model which integrates job parallelism. ...
Abstract. In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making procedure and a new stochastic beam search algo...
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Recently, there has been much interest in processing skyline queries for various applications that include decision making, personalized services, and search pruning. Skyline queri...
Justin J. Levandoski, Mohamed E. Khalefa, Mohamed ...