Qatar Mobility Innovations Center: Recent submissions

Now showing items 61-80 of 219

    • Real-time AI-based inference of people gender and age in highly crowded environments 

      Jasseur, Abidi; Filali, Fethi ( Elsevier , 2023 , Article)
      Gender identity is one of the most fundamental aspects of life. Automatic gender identification is increasingly being used in areas such as security, marketing, and social robots. The objective of this paper is to address ...

    • 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 Paper)
      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 ...

    • Trends and Challenges in Mobile Edge Computing for the Next Generation Massive Internet of Things 

      Khan, Muhammad Asif; Ahmadon, Mohd Anuaruddin ( UTHM Publisher , 2023 , Book chapter)
      Mobile Edge Computing (MEC) is a novel computing paradigm that brings data storage and computing resources closer to the end-users (i.e., at the network edge). The proximity between end users and the edge servers enables ...

    • Implementation and Simulation of UDP Client-Server Environment using Contiki Cooja Simulator 

      Khan, Muhammad Asif; Ahmadon, Mohd Anuaruddin; Abdul Rauf, Natasha Amira; Zaid, Abang Muhamad; Mahamad, Abd Kadir; ... more authors ( UTHM Publisher , 2023 , Book chapter)
      This paper presents a simulation and evaluation of a UDP (User Datagram Protocol) client-server model using the Cooja simulator and Contiki OS System. The goal is to establish communication between the router, client, and ...

    • 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 Paper)
      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 ...

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

      Ben Brahim, Mohamed; Menouar, Hamid ( Springer , 2020 , Conference Paper)
      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 ...

    • Low-Altitude Navigation for Multi-Rotor Drones in Urban Areas 

      Bahabry, Ahmed; Wan, Xiangpeng; Ghazzai, Hakim; Menouar, Hamid; Vesonder, Gregg; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Multi-rotor drones have witnessed a drastic usage increase in several smart city applications due to their 3D mobility, flexibility, and low cost. Collectively, they can be used to accomplish different short- and long-term ...

    • 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 ...

    • Joint Position and Travel Path Optimization for Energy Efficient Wireless Data Gathering Using Unmanned Aerial Vehicles 

      Ghorbel, Mahdi Ben; Rodríguez-Duarte, David; Ghazzai, Hakim; Hossain, Md. Jahangir; Menouar, Hamid ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Unnamed aerial vehicles (UAVs) or drones have attracted growing interest in the last few years for multiple applications; thanks to their advantages in terms of mobility, easy movement, and flexible positioning. In UAV-based ...

    • 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 ...

    • Optimal collision-free navigation for multi-rotor UAV swarms in urban areas 

      Wan, Xiangpeng; Ghazzai, Hakim; Massoud, Yehia; Menouar, Hamid ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      The use of micro unmanned aerial vehicles (UAVs) have gained a lot of interests especially for smart city applications due to their three- dimensional (3D) mobility and flexibility. Path planning is one of the most important ...

    • 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 Paper)
      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 ...

    • 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 Paper)
      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 ...

    • Entropy Field Decomposition Based Outage Detection for Ultra-Dense Networks 

      Asghar, Ahmad; Farooq, Hasan; Qureshi, Haneya Naeem; Abu-Dayya, Adnan; Imran, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Ambitious quality of experience expectations from 5G mobile cellular networks have spurred the research towards ultra-dense heterogeneous networks (UDHNs). However, due to coverage limitations of millimeter wave cells and ...

    • A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis 

      Rizwan, Ali; Jaber, Mona; Filali, Fethi; Imran, Ali; Abu-Dayya, Adnan ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The detection of cells with sub-optimal performance and the identification of the root-cause of such performance is a crucial and challenging task in Network Performance Management (NPM). The contemporary NPM approaches, ...

    • 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 Paper)
      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 ...

    • Enhancing Downlink QoS and Energy Efficiency Through a User-Centric Stienen Cell Architecture for mmWave Networks 

      Hashmi, Umair Sajid; Zaidi, Syed Ali Raza; Imran, Ali; Abu-Dayya, Adnan ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      This paper presents an analytical framework for performance characterization of a novel Stienen cell based user-centric architecture operating in millimeter wave spectrum. In the proposed architecture, at most one remote ...

    • Privacy-Preserving Control of Video Transmissions for Drone-based Intelligent Transportation Systems 

      Akkaya, Kemal; Baboolal, Vashish; Saputro, Nico; Uluagac, Selcuk; Menouar, Hamid ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      The drones are now frequently used for many smart city applications including intelligent transportation to provide situational awareness for drivers as well as other stakeholders that manage the traffic. In such situations ...