Intelligent transportation systems to mitigate road traffic congestion

Autor: Nizar Hamadeh, Ali Karouni, Zeinab Farhat

Publikováno v: Intelligenza Artificiale. 15:91-104

Intelligent transport systems have efficiently and effectively proved themselves in settling up the problem of traffic congestion around the world. The multi-agent based transportation system is one of the most important intelligent transport systems

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39005f867c2152d41b5b1e6e755ec678
https://doi.org/10.3233/ia-200079

Obstetricians' Knowledge and Practices about Prediction, Prevention, Diagnosis, and Management of Preeclampsia

Autor: Rola Hamadeh, Nizar Hamadeh, Firas Kobeissy, Ali Karouni, Hikmat Akoum

Publikováno v: Current Women s Health Reviews. 19

Objectives: Preeclampsia (P.E) and Eclampsia are hypertensive disorders of pregnancy that complicate 2-8 % of pregnancies globally. Hypertensive disorders of pregnancy constitute one of the leading causes of maternal and perinatal mortality worldwide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1660335bff0726c2deb240c8e05d34a2
https://doi.org/10.2174/1573404818666220518124959

Comparative Study Between Decision Trees and Neural Networks to Predictfatal Road Accidents in Lebanon

Autor: Pierre Chauvet, Bassam Daya, Zeinab Farhat, Ali Karouni

Publikováno v: 5th International Conference on Computer Science, Information Technology
5th International Conference on Computer Science, Information Technology, Aug 2019, Vienne, Austria. pp.01-14, ⟨10.5121/csit.2019.91101⟩

International audience; Nowadays, road traffic accidents are one of the leading causes of deaths in this world. It is a complex phenomenon leaving a significant negative impact on human’s life and properties. Classification techniques of data minin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4e9e7bcf3010bfa6e813f62e63f124
https://hal.univ-angers.fr/hal-02517353

Using correlative data analysis to develop weather index that estimates the risk of forest fires in Lebanon & Mediterranean: Assessment versus prevalent meteorological indices

Autor: Pierre Chauvet, Ali Karouni, Bassam Daya, Nizar Hamadeh

Publikováno v: Case Studies in Fire Safety
Case Studies in Fire Safety, 2017, 7, pp.8-22. ⟨10.1016/j.csfs.2016.12.001⟩

International audience; Forest fires are among the most dangerous natural threats that bring calamities to a community and can turn it totally upside down. In this paper, to enable a prevention mechanism, we rely on analytics to build a novel fire da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b582fc185d904bfeccc12c468da27ec8
https://hal.univ-angers.fr/hal-02527872

Comparative Study of Different Data Mining Techniques in Predicting Forest Fire in Lebanon and Mediterranean

Autor: Ali Karouni, Bassam Daya, Nizar Hamadeh, Pierre Chauvet

Publikováno v: SAI Intelligent Systems Conference 2016 (IntelliSys 2016)
SAI Intelligent Systems Conference 2016 (IntelliSys 2016), Sep 2016, Londres, United Kingdom. pp.747-762, ⟨10.1007/978-3-319-56994-9_51⟩
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, pp.747-762, 2018, ⟨10.1007/978-3-319-56994-9_51⟩
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569932

International audience; Forest fire is one of the most complex phenomena which can cause great economic losses and make eco-environment seriously disordered. Forest fire has caused the loss of many green acres in Lebanon due to the lack of government

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d7ff349e892503b1e7350d0fcf7172a
https://hal.univ-angers.fr/hal-02517393