Fair hop-by-hop interest rate control to mitigate congestion in named data networks

Autor: Naceur Malouch, Farouk Kamoun, Haifa Touati, Safa Mejri

Publikováno v: Cluster Computing. 24:2213-2230

Data retrieval in Named Data Networking (NDN) is based on content names irrespective of their hosting location. The NDN architecture introduces original naming, forwarding and caching techniques to improve data delivery efficiency. These distinctive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::863637703a40c6710729b133a64f3b98
https://doi.org/10.1007/s10586-021-03258-8

Deep learning and handcrafted features for one-class anomaly detection in UAV video

Autor: Farouk Kamoun, Hichem Snoussi, Amira Chriki, Haifa Touati

Publikováno v: Multimedia Tools and Applications
Multimedia Tools and Applications, 2021, 80 (2), pp.2599-2620. ⟨10.1007/s11042-020-09774-w⟩
Multimedia Tools and Applications, Springer Verlag, 2021, 80 (2), pp.2599-2620. ⟨10.1007/s11042-020-09774-w⟩

International audience; Visual surveillance systems have recently captured the attention of the research community. Most of the proposed surveillance systems deal with stationary cameras. Nevertheless, these systems may reflect minor applicability in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e33552895a2f851c22894a49f7126eec
https://doi.org/10.1007/s11042-020-09774-w

Cognitive Radio and Dynamic TDMA for efficient UAVs swarm communications

Autor: Amira Chriki, Hichem Snoussi, Haifa Touati, Farouk Kamoun

Publikováno v: Computer Networks
Computer Networks, Elsevier, 2021, 196, pp.108264. ⟨10.1016/j.comnet.2021.108264⟩
Computer Networks, 2021, 196, pp.108264. ⟨10.1016/j.comnet.2021.108264⟩

International audience; In the last decades, under technological progress in electronic and avionics systems, Unmanned Aerial Vehicles (UAVs) have known an increasing use in several military and civilian missions. Multiple UAVs can cooperatively carr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1bf1d611eea1eebbb6bdcd87dd41134
https://hal-utt.archives-ouvertes.fr/hal-03320643

A Neural Network Model for Fuel Consumption Estimation

Autor: Noureddine Ben Othman, Farouk Kamoun, Amine Kchiche, Chayma Werghui

Publikováno v: Advanced Information Networking and Applications ISBN: 9783030750749
AINA (2)

There is uncertainty about the methodological assumptions and parameters to be considered in estimating fuel consumption of road vehicles. In fact, recent studies have highlighted how the existing models provide different estimation results accuracy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b6266f70885d825bae254c3a149ad57
https://doi.org/10.1007/978-3-030-75075-6_26

Impact of Road Gradient on Electric Vehicle Energy Consumption in Real-World Driving

Autor: Farouk Kamoun, Insaf Sagaama, Wassim Trojet, Amine Kchiche

Publikováno v: Advanced Information Networking and Applications
Advanced Information Networking and Applications, pp.393-404, 2020, ⟨10.1007/978-3-030-44041-1_36⟩
Advanced Information Networking and Applications ISBN: 9783030440404
AINA

With serious concerns on environmental problems related to CO\(_{2}\) emissions and energy crisis, special attention has recently been paid to Electric Vehicles (EVs). Specifically, an accurate estimation of energy consumption for EV is still a big i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ac4447281f9be0730b6193fe7efbf78
https://hal.archives-ouvertes.fr/hal-02870001