Academic: Recent submissions

Now showing items 2601-2620 of 30694

    • Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks 

      Rizwan, A.; Abu-Dayya, A.; Filali, F.; Imran, A. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      Data-driven machine learning is considered a means to address the paramount challenge of timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile networks. Whereas diagnosing multiple faults ...

    • Analyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors 

      Filali, Fethi; Tayeb, Fatima; Chihaoui, Hamadi ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      On February 2020, Qatar entered the Guinness World Record by opening the world's longest continuous cycling track developed by the Public Works Authority - Ashghal. Gaining insights of the usage of the so called Olympic ...

    • High definition map update for autonomous and connected vehicles: A survey 

      Boubakri, Anis; Gammar, Sonia METTALI; Brahim, Mohamed BEN; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      As making the right decision is a key element in autonomous driving systems, perfect knowledge of the traffic environment is necessary in order to avoid dangerous situations. Autonomous vehicles rely on a set of sensors ...

    • Future UAV-Based ITS: A Comprehensive Scheduling Framework 

      Ghazzai, Hakim; Menouar, Hamid; Kadri, Abdullah; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
      Multi-rotor unmanned aerial vehicles (UAVs) have been recently recognized as one of the top emerging technologies to be utilized in various smart city domains such as intelligent transportation systems (ITS). They represent ...

    • A Generic Spatiotemporal UAV Scheduling Framework for Multi-Event Applications 

      Ghazzai, Hakim; Kadri, Abdullah; Ben Ghorbel, Mahdi; Menouar, Hamid; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally ...

    • Dynamic prediction of survival via Landmark method using the asthma prevention trial in young children 

      Faiz, Nosheen; Gardiwal, Atal Khan; Khan, Muhammad Asif; Iftikhar, Soofia ( Public Library of Science , 2023 , Article)
      This paper focuses on the applications of Landmark method for obtaining dynamic predictions of survival by using Landmark approach to the data of asthma prevention trial in young children. This work focuses on the different ...

    • Enhanced Diagnostic of Pulmonary Embolism Detection using DenseNet and XGBoost 

      Ahmad, Zahoor; Al-Maadeed, Somaya Ali; Khan, Muhammad Asif ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
      Pulmonary embolism (PE) poses a significant medical challenge, often linked to severe morbidity and mortality rates. This study investigates the effectiveness of machine learning techniques in detecting pulmonary embolism ...

    • A time-varied probabilistic ON/OFF switching algorithm for cellular networks 

      Ben Rached, Nadhir; Ghazzai, Hakim; Kadri, Abdullah; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      In this letter, we develop a time-varied probabilistic on/off switching planning method for cellular networks to reduce their energy consumption. It consists in a risk-aware optimization approach that takes into consideration ...

    • Visual Deception: Demonstrating Spoofing Attacks on Autonomous Vehicle Cameras 

      Khan, Muhammad Asif; Menouar, Hamid; Nassar, Ayah; Abdallah, Mohamed ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
      Autonomous vehicles (AVs) are the cornerstone of the future intelligent transportation systems. The AVs are intelligent vehicles with sophisticated sensing capabilities powered by advanced artificial intelligence. Among ...

    • AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning 

      Ben Brahim, Mohamed; Menouar, Hamid ( Springer , 2020 , Conference)
      In Vehicle-to-Vehicle and Vehicle-to-Infrastructure (V2X) communication, a large amount of data and information is transmitted over the air by the vehicles. If this data is captured, e.g., by a network of roadside units ...

    • C-ITS Applications, Use Cases and Requirements for V2X Communication Systems-Threading Through IEEE 802.11p to 5G 

      Hameed Mir, Zeeshan; Filali, Fethi ( Springer International Publishing , 2022 , Book chapter)
      The existence of multiple wireless technologies and standards spurs the development of a wide range of cooperative applications for vehicular networking environments. Vehicle-to-Everything (V2X) communication systems enable ...

    • Evaluation of DSRC and LTE-V2x: Need for Next-Generation V2X Communication Systems 

      Hameed Mir, Zeeshan; Filali, Fethi ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)
      Predominantly, there are two wireless technologies for providing vehicle-to-everything (V2X) communications, i.e., ad hoc IEEE 802.11p and cellular LTE-V2x. This paper provides a qualitative and quantitative evaluation of ...

    • The relative contributions of ACE genotypes on personality traits in Tunisian athletes 

      Znazen, Hela; Mejri, Aouatef; Chtara, Mokhtar; Briki, Walid; Hammoudi Nassib, Sarra; ... more authors ( Edizioni Minerva Medica , 2016 , Article)
      BACKGROUND: The present study attempted to test whether the ACE genotypes can be associated with particular personality traits that can be potentially used as predictors of athletic performance. Eighty seven track and ield ...

    • Perceiving red decreases motor performance over time: A pilot study 

      W., Briki; Rinaldi, K.; Riera, F.; Trong, T.T.; Hue, O. ( Elsevier , 2015 , Article)
      IntroductionColors may influence motor performance. ObjectiveThe present study aimed to compare the effects of perception of red and green environments on physical (performance and heart rate) and psychological (perceived ...

    • Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios 

      Mir, Zeeshan Hameed; Dreyer, Nils; Kürner, Thomas; Filali, Fethi ( Elsevier , 2024 , Article)
      The need for reliable vehicular communication is an essential precondition of future Cooperative Intelligent Transportation Systems (C-ITS). The C-ITS applications and their diverse requirements necessitate a hybrid approach ...

    • A top-down approach for building realistic reference scenarios and simulation framework for LTE C-V2X communications 

      Mir, Zeeshan Hameed; Dreyer, Nils; Kürner, Thomas; Filali, Fethi ( Elsevier , 2023 , Article)
      Many vehicle-to-everything (V2X) applications and use cases require their feasibility to be simulated, tested, and validated in realistic traffic scenarios and under various network conditions before real-time testbed ...

    • Infrastructure-assisted joint power adaptation and routing for heterogeneous vehicular networks 

      Zeeshan, Hameed Mir; Ko, Young-Bae; Filali, Fethi; Kim, Jaebeom ( Elsevier , 2019 , Article)
      In vehicular networks, protocols and algorithms rely on the in-network status information and its delivery via control messages for their operations. Using the same wireless channel for data and control message transmissions ...

    • A Framework to Address Mobility Management Challenges in Emerging Networks 

      Zaidi, Syed Muhammad Asad; Farooq, Hasan; Rizwan, Ali; Abu-Dayya, Adnan; Imran, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The key enablers for emerging cellular networks (such as densification, concurrent operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set of new network management challenges. One such ...

    • COVID-19 pandemic impacts on traffic system delay, fuel consumption and emissions 

      Jianhe, Du; Rakha, Hesham A.; Filali, Fethi; Eldardiry, Hoda ( Elsevier , 2021 , Article)
      A dramatic reduction in traffic demand has been observed during the COVID-19 pandemic, producing noticeable declines in traffic delays, energy consumption, and emissions. This unprecedented event provides us with the chance ...

    • Power Density Improvement Due To Rotor Flux Screens In An Srm With A Higher Number Of Rotor Poles Than Stator Poles 

      Abdel-Aziz, Ali A.; Ahmed, Khaled H.; Massoud, Ahmed M.; Williams, Barry W. ( Academy Publishing Center, Arab Academy for Science, Technology and Maritime Transport , 2023 , Article)
      This paper studies the performance of screened switched reluctance motors (SRMs) with a number of rotor poles higher than the number of stator poles. Flux (conducting) screens are electrically conducting, non-magnetic ...