Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Ismail Berrada"'
Publikováno v:
IEEE Access, Vol 12, Pp 172027-172045 (2024)
Network Intrusion Detection Systems (NIDS) play a crucial role in ensuring cybersecurity across various digital infrastructures. However, traditional NIDS face significant challenges, including high computational and storage costs, as well as privacy
Externí odkaz:
https://doaj.org/article/2458e3c55a9b4ed7a0d461f3c79f232b
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9088-9101 (2022)
Defining driver behavior profiles is an essential step to create unique and tailored driving experience. Depending on the driver information used, two types of profiles can be distinguished. The driver’s preferences in terms of car settings constit
Externí odkaz:
https://doaj.org/article/4999f361502944109bb6740147406fe0
Autor:
Hamza Alami, Abdelkader El Mahdaouy, Abdessamad Benlahbib, Noureddine En-Nahnahi, Ismail Berrada, Said El Alaoui Ouatik
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101709- (2023)
As of late, various deep learning techniques and methods have shown their superiority to feature-based and shallow learning techniques in the field of open-domain question–answering systems (OpenQAS). However, only a few works adopted these techniq
Externí odkaz:
https://doaj.org/article/bf0d2829c7cf48af8d05633e85cc70d3
Publikováno v:
IEEE Access, Vol 10, Pp 124766-124776 (2022)
Federated learning (FL) has been proposed as a machine learning approach to collaboratively learn a shared prediction model. Although, during FL training, only a subset of workers participate in each round, existing approaches introduce model bias wh
Externí odkaz:
https://doaj.org/article/85a8ddad70754a92ab7edb744a6cae9e
Autor:
Kaoutar Sefrioui Boujemaa, Mohammed Akallouch, Ismail Berrada, Khalid Fardousse, Afaf Bouhoute
Publikováno v:
IEEE Access, Vol 9, Pp 93937-93947 (2021)
Detection and recognition of traffic panels and their textual information are important applications of advanced driving assistance systems (ADAS). They can significantly contribute in enhancing road safety by optimizing the driving experience. Howev
Externí odkaz:
https://doaj.org/article/01b36002ed904aa08783136ee2e60ef9
Publikováno v:
Information, Vol 13, Iss 8, p 381 (2022)
Accurate and timely traffic information is a vital element in intelligent transportation systems and urban management, which is vitally important for road users and government agencies. However, existing traffic prediction approaches are primarily ba
Externí odkaz:
https://doaj.org/article/f703c56b373c46118b0643dddbdab60e
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-15 (2018)
Abstract In the last decade, significant advances have been made in sensing and communication technologies. Such progress led to a considerable growth in the development and use of intelligent transportation systems. Characterizing driving styles of
Externí odkaz:
https://doaj.org/article/a5d618bde8034d008bf4567ab1f96ffb
Publikováno v:
Cognitive Computation and Systems (2019)
Cognitive radio networks (CRNs) have the capacity to be aware of the conditions of their operating environment, and dynamically reconfigure their own characteristics in order to reach the best available performances. These performances may be serious
Externí odkaz:
https://doaj.org/article/64a278e2aaf44dd698f4f5f8176735af
Publikováno v:
Advances in Operations Research, Vol 2018 (2018)
The optimization computation is an essential transversal branch of operations research which is primordial in many technical fields: transport, finance, networks, energy, learning, etc. In fact, it aims to minimize the resource consumption and maximi
Externí odkaz:
https://doaj.org/article/570c45b1330f4be59835f17bf5b74d3e
Autor:
Kaoutar Sefrioui Boujemaa, Francois Bourzeix, Khalid Fardousse, Ismail Berrada, Othmane Naggar
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5211-5230
Worldwide, traffic accidents are recognized as one of the leading causes of death. This phenomenon leads to significant daily losses affecting both road users and road authorities. Therefore, the need for effective dynamic road security systems is hi