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

A New Clustering Routing Protocol for Homogeneous Wireless Sensor Networks Powered by Renewable Energy Sources

Autor: Nizar Hamadeh, Chirine Bassil, Jawad Khalife, Hussein El Ghor

Publikováno v: Scalable Computing: Practice and Experience. 21:637-648

The technology of wireless sensor networks (WSNs) is in constant development and it made great progress in many applications. One of the most popular problems in WSNs is the limited energy storage power at every sensor node. This paper aims to propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5f9ac224264b1314ca8fe96f303a46a
https://doi.org/10.12694/scpe.v21i4.1787

Energy-Aware Fault-Tolerant Real-Time Scheduling for Embedded Systems

Autor: Rafic Hage Chehade, Hussein El Ghor, Nizar Hamadeh, Julia Hage

Publikováno v: Smart Innovation, Systems and Technologies ISBN: 9783030210083

In this paper, we investigated the problem of developing scheduling techniques for uniprocessor real-time systems that enhances energy saving while still tolerating up to k transient faults to preserve the system’s reliability. Two scheduling algor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51644794069d5570cb7f245579c72ffc
https://doi.org/10.1007/978-3-030-21009-0_18

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