Titlebook: Smart Applications and Data Analysis; 4th International Co Mohamed Hamlich,Ladjel Bellatreche,Sebastian Ventu Conference proceedings 2022 T

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Fatemeh Sajadi Ansari,Djamal Benslimane,Aymen Khelifi,Mahmoud Barhamgisplenic, and common hepatic arteries. The common hepatic artery divides into the gastroduodenal artery and proper hepatic artery. This itself bifurcates into a right and left branch to supply each of the lobes of the liver. Quite often the hepatic artery has an incomplete set of branches because one

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Yassine Zahraoui,Mohamed Moutchou,Souad Tayane,Sara Elbadaoui stem cells may be activated to proliferate after severe liver injury or exposure to hepatocarcinogens. Stem cell replacement strategies are being investigated as an alternative approach to liver repair and regeneration. Additionally, stem cell transplantation has been shown to significantly improve

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Said Fadlo,Abdelhafid Ait Elmahjoub,Nabila Rabbah stem cells may be activated to proliferate after severe liver injury or exposure to hepatocarcinogens. Stem cell replacement strategies are being investigated as an alternative approach to liver repair and regeneration. Additionally, stem cell transplantation has been shown to significantly improve

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Moncef Garouani,Adeel Ahmad,Mourad Bouneffa,Mohamed Hamlich stem cells may be activated to proliferate after severe liver injury or exposure to hepatocarcinogens. Stem cell replacement strategies are being investigated as an alternative approach to liver repair and regeneration. Additionally, stem cell transplantation has been shown to significantly improve

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Spectral Clustering Based on a Graph Model for Airspace Sectorizationion. For the weighted graph model, we use two main metrics: the traffic flow and the number of intersections on each link. For the final step, we analyze spectral clustering on sectors to test how suitable the results are via convex bounding.

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autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Fact is dynamic and may change over time. In this paper, we propose a new hybrid model . which combines timeSVD++ and autoencoder to extract item side information including time effect. The experimental results show that the proposed model achieves competitive results compared to many baselines models.