Deep learning has emerged as a powerful approach for modelling static data like images and more recently for modelling dynamical systems like those underlying times series, videos or physical phenomena. Yet, neural networks were observed to not generalize well outside the training distribution, in other words out-of-distribution. This lack of gener...
Published in Canadian journal of public health = Revue canadienne de sante publique
This study aimed at (1) describing the local risk of West Nile virus (WNV) infection in humans based on previous case reports and (2) investigating the spatial clustering of cases in the five most affected administrative regions of Quebec, Canada, for the 2011-2016 period. Human WNV cases declared to the Ministry of Health and Social Services of Qu...
This study presents an attempt to understand the process of transformation in Ramallah area of Palestine after 1993 due to the Oslo accord. The Introduction highlights the problem statement, the main aims of the study and its importance; also, the methodology has bee nfollowed. While the study contain two parts, each part have three chapters.Part o...
Published in Neurophysiologie Clinique / Clinical Neurophysiology
