Zobrazeno 1 - 10
of 1 486
pro vyhledávání: '"Mlika, A."'
Autor:
Meskini, Majdi, Saafi, Houssem, Mlika, Abdelfattah, Arsicault, Marc, Zeghloul, Said, Laribi, Med Amine
Publikováno v:
Robotica, 2023, 41 (10), pp.3175-3194
This paper focuses on developing a novel hybrid-haptic (nHH) device with a remote center of rotation with 4 DOFs (degrees of freedom) intendant to be used as a haptic device. The new architecture is composed of two chains handling each one a part of
Externí odkaz:
http://arxiv.org/abs/2410.00481
Autor:
Hojatian, Hamed, Mlika, Zoubeir, Nadal, Jérémy, Frigon, Jean-François, Leduc-Primeau, François
Publikováno v:
IEEE Transactions on Machine Learning in Communications and Networking 2024
Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems. However, the transmitter architecture may contain several parameters that need
Externí odkaz:
http://arxiv.org/abs/2308.06376
Autor:
MONA MLIKA, SARRA CHEIKHROUHOU, ABDERRAOUF BEN MANSOUR, FAOUZI MEZNI, MOHAMED HÉDI LOUESLATI, IHEB LABBENE, MOHAMED JOUINI
Publikováno v:
Journal of Advances in Medical Education and Professionalism, Vol 12, Iss 3, Pp 172-179 (2024)
Introduction: The evaluation of programs in faculties of medicine enables them to adequately reach their mission objectives, and social responsibilities and to correct their potential lacune. Fewpublications have described the process of internal eva
Externí odkaz:
https://doaj.org/article/04d44e47ea2f482fb4bdf19d11ab61ee
This paper applies a quantum machine learning technique to predict mobile users' trajectories in mobile wireless networks using an approach called quantum reservoir computing (QRC). Mobile users' trajectories prediction belongs to the task of tempora
Externí odkaz:
http://arxiv.org/abs/2301.08796
Deep Deterministic Policy Gradient to Minimize the Age of Information in Cellular V2X Communications
Autor:
Mlika, Zoubeir, Cherkaoui, Soumaya
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 25 July 2022
This paper studies the problem of minimizing the age of information (AoI) in cellular vehicle-to-everything communications. To provide minimal AoI and high reliability for vehicles' safety information, NOMA is exploited. We reformulate a resource all
Externí odkaz:
http://arxiv.org/abs/2210.09586
Autor:
Amène Ben Bnina, Amri Yessine, Yasmine El Bahri, Saoussen Chouchene, Nada Ben Lazrek, Mariem Mimouna, Zeineb Mlika, Aziza Messoudi, Dorsaf Zellama, Wissal Sahtout, Amina Bouatay
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Background Estimation of HLA (Human leukocyte Antigen) alleles’ frequencies in populations is essential to explore their ethnic origin. Anthropologic studies of central Tunisian population were rarely reported. Then, in this work, we aimed
Externí odkaz:
https://doaj.org/article/47143686edac45c397bc26950ffb0d6a
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/68be87ceed2149918a71e0d49671bb2b
Radio access network (RAN) slicing is a key technology that enables 5G network to support heterogeneous requirements of generic services, namely ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB). In this paper, we
Externí odkaz:
http://arxiv.org/abs/2202.06435
Autor:
Mlika, Zoubeir, Cherkaoui, Soumaya
Publikováno v:
Published in: ICC 2021 - IEEE International Conference on Communications
This paper studies the problem of massive Internet of things (IoT) access in beyond fifth generation (B5G) networks using non-orthogonal multiple access (NOMA) technique. The problem involves massive IoT devices grouping and power allocation in order
Externí odkaz:
http://arxiv.org/abs/2201.12395
Low-Latency IoT applications such as autonomous vehicles, augmented/virtual reality devices and security applications require high computation resources to make decisions on the fly. However, these kinds of applications cannot tolerate offloading the
Externí odkaz:
http://arxiv.org/abs/2201.11837