Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Manel Mrabet"'
Publikováno v:
Frontiers in Communications and Networks, Vol 5 (2024)
In recent years, the increasing use of drones for both commercial and recreational purposes has led to heightened concerns regarding airspace safety. To address these issues, machine learning (ML) based drone detection and classification have emerged
Externí odkaz:
https://doaj.org/article/9b1681566ee74456b07b874dabbe01ab
Publikováno v:
IEEE Access, Vol 12, Pp 124452-124477 (2024)
Vehicular Ad-hoc Networks (VANETs) indeed have significant potential to enhance transportation efficiency, accident prevention, and overall comfort. They enable communication between vehicles and road infrastructure, facilitating the exchange of ente
Externí odkaz:
https://doaj.org/article/69ff6d29f56e4d668d05a52e122ca410
Autor:
Karim Gasmi, Lassaad Ben Ammar, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Manel Mrabet
Publikováno v:
IEEE Access, Vol 12, Pp 64754-64764 (2024)
Dyslexia is a form of specialized learning disability that can lead to academic dissatisfaction. Detection is essential yet difficult, especially for languages like Arabic and Spanish that have straightforward orthographies. As seen by the abundance
Externí odkaz:
https://doaj.org/article/5a020dfe543d4241a0cebe5b5dea2c8c
Autor:
Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, Ibtihel Ben Ltaifa, Moez Krichen, Manel Mrabet, Hamoud Alshammari, Samia Yahyaoui, Kais Khaldi, Olfa Hrizi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 4604-4631 (2024)
In recent years, augmented reality has emerged as an emerging technology with huge potential in image-guided surgery, and in particular, its application in brain tumor surgery seems promising. Augmented reality can be divided into two parts: hardware
Externí odkaz:
https://doaj.org/article/269903348d5a4a31889555f3c2fd2b4b
Autor:
Mathieu Bléry, Manel Mrabet-Kraiem, Ariane Morel, Florence Lhospice, Delphine Bregeon, Cécile Bonnafous, Laurent Gauthier, Benjamin Rossi, Romain Remark, Stéphanie Cornen, Nadia Anceriz, Nicolas Viaud, Sylvia Trichard, Sabrina Carpentier, Alix Joulin-Giet, Gwendoline Grondin, Veronika Liptakova, Younghoon Kim, Laurent Daniel, Aurélie Haffner, Nicolas Macagno, Laurent Pouyet, Ivan Perrot, Carine Paturel, Yannis Morel, Alexander Steinle, François Romagné, Emilie Narni-Mancinelli, Eric Vivier
Publikováno v:
Open Research Europe, Vol 1 (2021)
Background: MICA and MICB are tightly regulated stress-induced proteins that trigger the immune system by binding to the activating receptor NKG2D on cytotoxic lymphocytes. MICA and MICB are highly polymorphic molecules with prevalent expression on s
Externí odkaz:
https://doaj.org/article/8c82a28c8fee4c588b40521e1bf3d7bc
Autor:
Mathieu Bléry, Manel Mrabet-Kraiem, Ariane Morel, Florence Lhospice, Delphine Bregeon, Cécile Bonnafous, Laurent Gauthier, Benjamin Rossi, Romain Remark, Stéphanie Cornen, Nadia Anceriz, Nicolas Viaud, Sylvia Trichard, Sabrina Carpentier, Alix Joulin-Giet, Gwendoline Grondin, Veronika Liptakova, Younghoon Kim, Laurent Daniel, Aurélie Haffner, Nicolas Macagno, Laurent Pouyet, Ivan Perrot, Carine Paturel, Yannis Morel, Alexander Steinle, François Romagné, Emilie Narni-Mancinelli, Eric Vivier
Publikováno v:
Open Research Europe, Vol 1 (2021)
Background: MICA and MICB are tightly regulated stress-induced proteins that trigger the immune system by binding to the activating receptor NKG2D on cytotoxic lymphocytes. MICA and MICB are highly polymorphic molecules with prevalent expression on s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::d5ea10e78407d1083415121d6f8a2990
https://pubmed.ncbi.nlm.nih.gov/35967081
https://pubmed.ncbi.nlm.nih.gov/35967081
Publikováno v:
ACM Transactions on Internet Technology. 19:1-20
The increasing proliferation of Cloud Services (CSs) has made the reliable CS selection problem a major challenge. To tackle this problem, this article introduces a new trust model called Chain Augmented Naïve Bayes-based Trust Model (CAN-TM). This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5759a8ee8e2737b4c17a4692eaa3240
https://doi.org/10.1145/3341732
https://doi.org/10.1145/3341732
Autor:
Alix Joulin-Giet, Laurent Gauthier, Laurent Daniel, Veronika Liptakova, Younghoon Kim, Florence Lhospice, Eric Vivier, Nadia Anceriz, Nicolas Macagno, Mathieu Blery, Gwendoline Grondin, Delphine Bregeon, Laurent Pouyet, Ariane Morel, Sabrina Carpentier, Benjamin Rossi, Romain Remark, Yannis Morel, Sylvia Trichard, Manel Mrabet-Kraiem, Cécile Bonnafous, Aurélie Haffner, Ivan Perrot, François Romagné, Alexander Steinle, Carine Paturel, Emilie Narni-Mancinelli, Nicolas Viaud, Stéphanie Cornen
Publikováno v:
Open Research Europe
Background: MICA and MICB are tightly regulated stress-induced proteins that trigger the immune system by binding to the activating receptor NKG2D on cytotoxic lymphocytes. MICA and MICB are highly polymorphic molecules with prevalent expression on s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6005cd0e66cf46dbee33c43473322d3
https://doi.org/10.12688/openreseurope.13314.2
https://doi.org/10.12688/openreseurope.13314.2
Publikováno v:
TrustCom/BigDataSE/ICESS
Trust management systems provide a means for trustworthy interactions in cloud environments. However, trust establishment could be compromised when malicious cloud users intentionally provide unfair feedbacks to decrease the reputation of some cloud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44e3e4d70a71712b8cbf62be448480dc
https://doi.org/10.1109/trustcom/bigdatase/icess.2017.282
https://doi.org/10.1109/trustcom/bigdatase/icess.2017.282
Publikováno v:
CCGrid
This paper introduces an approach that handles with the trustworthy cloud service selection issue in Cloud computing environments. Despite the fact that most of the existing trust systems consider several QoS attributes for trust computing, none of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3664d0bd6f058e924117ad368de05a79
https://doi.org/10.1109/ccgrid.2017.38
https://doi.org/10.1109/ccgrid.2017.38