Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Massari, Hakim El"'
Publikováno v:
Lecture Notes in Networks and Systems, Volume 635 LNNS, Pages 313 - 318, 2023
Recommender systems are a kind of data filtering that guides the user to interesting and valuable resources within an extensive dataset. by providing suggestions of products that are expected to match their preferences. However, due to data overloadi
Externí odkaz:
http://arxiv.org/abs/2406.10235
Autor:
Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Bahaj, Mohamed, Naqvi, Muhammad Raza
Publikováno v:
International journal of online and biomedical engineering, Volume 18, Issue 11, 2022, Pages 143 - 157
Cardiovascular disease is one of the chronic diseases that is on the rise. The complications occur when cardiovascular disease is not discovered early and correctly diagnosed at the right time. Various machine learning approaches, including ontology-
Externí odkaz:
http://arxiv.org/abs/2405.20414
Autor:
Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Sabouri, Zineb, Ghandi, Hamza, Qanouni, Fatima
Publikováno v:
In Procedia Computer Science 2023 218:2392-2400
Autor:
Massari, Hakim El, Gherabi, Noreddine, Mhammedi, Sajida, Ghandi, Hamza, Qanouni, Fatima, Bahaj, Mohamed
Coronavirus (covid 19) is one of the most dangerous viruses that have spread all over the world. With the increasing number of cases infected with the coronavirus, it has become necessary to address this epidemic by all available means. Detection of
Externí odkaz:
http://arxiv.org/abs/1205.5923
Publikováno v:
Journal of ICT Standardization, Volume 10, Issue 2, Pages 319 - 338, 2022
Diabetes is one of the chronic diseases, which is increasing from year to year. The problems begin when diabetes is not detected at an early phase and diagnosed properly at the appropriate time. Different machine learning techniques, as well as ontol
Externí odkaz:
http://arxiv.org/abs/1205.5921
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2814 Issue 1, p1-8, 8p
Autor:
Sabouri, Zineb, Gherabi, Noreddine, Nasri, Mohammed, Amnai, Mohamed, Massari, Hakim El, Moustati, Imane
Publikováno v:
International Journal of Online & Biomedical Engineering; 2023, Vol. 19 Issue 9, p93-107, 15p