Mohamed Ali Feki

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creates challenges with enormous technical, societal, economic , and political consequences. Consequently, a wide range of researchers from academia and industry, as well as businesses, government agencies, and cities, are exploring this exciting technology from three main perspectives: scientific theory, engineering design, and the user experience.(More)
In this paper we propose an efficient and incremental plan recognition method for cognitive assistance. We design our unique method based on graph matching and heuristic chaining rules in order to deal with interleaved and sequential activities. The finding of this research work is to be applied to predict abnormal behavior of the users, and optimize(More)