@article {Tamir2018475, title = {A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis}, journal = {International Journal of Advanced Computer Science and Applications}, volume = {9}, number = {10}, year = {2018}, pages = {475-484}, doi = {10.14569/IJACSA.2018.091058}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057264376\&doi=10.14569\%2fIJACSA.2018.091058\&partnerID=40\&md5=86e7cd3123ccc3b5399a68fccad72235}, author = {Tamir, M. and Chiheb, R. and Ouzayd, F.} } @conference {Romadi2014, title = {Detection and recognition of road signs in a video stream based on the shape of the panels}, booktitle = {2014 9th International Conference on Intelligent Systems: Theories and Applications, SITA 2014}, year = {2014}, note = {cited By 0}, abstract = {In this paper, we present a robust approach of automatic detection and recognition of road signs in national roads, starting from the images resulting from a video stream taken by a camera embarked on a vehicle. Our approach is composed of three main phases: the first phase is to extract video stream images containing a circle or a triangle. This extraction is performed respectively by Hough transformation and Ramer-Douglas-Peucker filter, the second phase consists of extraction areas of the calculated image, in the previous phase. In the third and last phase, we proceed to a matching of the extracted image areas with signs of reference by comparison of interest points extracted by the SURF method and the matching method FLANN. {\textcopyright} 2014 IEEE.}, doi = {10.1109/SITA.2014.6847285}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904598231\&doi=10.1109\%2fSITA.2014.6847285\&partnerID=40\&md5=62713d5791e141de32775236f194bb72}, author = {Romadi, M. and Oulah Haj Thami, R. and Romadi, R. and Chiheb, R.} } @conference {Romadi2013, title = {Detection and recognition of road signs}, booktitle = {2013 3rd International Symposium ISKO-Maghreb}, year = {2013}, note = {cited By 0}, abstract = {In this paper, w e present a n application for t h e detection and recognition of Moroccan road signs together with their positions in video sequences taken by a mobile scanning vehicle in rural areas. Our approach is based on processing t h e operations of pictures: morphology, segmentation, edge detection and object recognition. The application runs on an algorithm which consists of five main steps: input (pre-recording video stream), processing of video keyframes, edge detection, detection of geometric shapes known panels, recognizing the meaning and the position of the panel detected. {\textcopyright} 2013 IEEE.}, doi = {10.1109/ISKO-Maghreb.2013.6728127}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894208510\&doi=10.1109\%2fISKO-Maghreb.2013.6728127\&partnerID=40\&md5=1c3a22fd74b253e4957628821128d02c}, author = {Romadi, M. and Haj Thami, R.O. and Chiheb, R. and Romadi, R.} }