السجلات المعروضة 141 -- 160 من 278

    • 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 ...
    • Haris: An Advanced Autonomous Mobile Robot for Smart Parking Assistance 

      Hamad, Layth; Khan, Muhammad Asif; Menouar, Hamid; Filali, Fethi; Mohamed, Amr ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
      This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping ...
    • Object Depth and Size Estimation Using Stereo-Vision and Integration with SLAM 

      Hamad, Layth; Khan, Muhammad Asif; Mohamed, Amr ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      Autonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are integral in these systems for object identification ...
    • CSSA MAC: Carrier sense with slotted-Aloha multiple access MAC in vehicular network 

      Ouladdjedid, Lakhdar Kamal; Yagoubi, Mohamed Bachir; Menouar, Hamid ( Inderscience Publishers , 2018 , Article)
      IEEE 802.11p and 1609.4 are key layers in the WAVE architecture. They have been chosen to work as random medium multiple accesses with a multichannel switching scheme between SCH to CCH. This paper tackles the 'start-of-interval ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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)
      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 ...
    • 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)
      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 ...
    • 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)
      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 ...
    • An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes 

      Hamrouni, Soufien; Ghazzai, Hakim; Menouar, Hamid; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an ...
    • On the Detection of Unauthorized Drones - Techniques and Future Perspectives: A Review 

      Khan, Muhammad Asif; Menouar, Hamid; Eldeeb, Aisha; Abu-Dayya, Adnan; Salim, Flora D. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard ...
    • A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks 

      Umar Bin Farooq, Muhammad; Manalastas, Marvin; Raza, Waseem; Zaidi, Syed Muhammad Asad; Rizwan, Ali; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ...
    • Mobility Analytics of Fans During the 2021 FIFA Arab Cup Football Tournament in Qatar 

      Abidi, Jassuer; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The FIFA Arab Cup, a test event for the 2022 FIFA World Cup, took place in Qatar from November to December 2021. The event showcased 32 matches across six venues that will also be utilized in the World Cup. This paper ...
    • Bluetooth-Based Vehicle Counting: Bridging the Gap to Ground-Truth With Machine Learning 

      Tayeb, Fatima; Chihaoui, Hamadi; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      Traffic flow, number of vehicles passing a particular point over a given period of time, is an essential indicator for evaluating the performance and condition of road networks, detecting congestion, and predicting traffic ...
    • Unauthorized Drone Detection: Experiments and Prototypes 

      Khan, Muhammad Asif; Menouar, Hamid; Khalid, Osama Muhammad; Abu-Dayya, Adnan ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized drones is a significant problem which ...
    • Proxy-CPM: A collaborative high definition map update for autonomous and connected vehicles 

      Boubakri, Anis; Gammar, Sonia Mettali; Brahim, Mohamed Ben; Filali, Fethi ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)
      Autonomous cooperative driving systems enable the safe operation of autonomous vehicles. However, the effectiveness of these systems is hindered by the challenge of promptly accessing necessary traffic data. High-definition ...
    • Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models 

      Ali, Hassan; Butt, Muhammad Atif; Filali, Fethi; Al-Fuqaha, Ala; Qadir, Junaid ( IEEE , 2024 , Article)
      Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known ...