Now showing items 61-80 of 2402

    • Quantifying Empathy in Virtual Reality: An Outline 

      Owais, Waleed Bin; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      The purpose of this paper is to provide an outline of the research undertaken hitherto on quantifying empathy in virtual reality (VR). In this paper we have discussed various methodologies used for testing the impact on ...
    • Combating jamming attacks in multi-channel IoT networks using game theory 

      Guizani, Mohsen; Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T. ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ...
    • Physical Layer Anti-jamming Technique Using Massive Planar Antenna Arrays 

      Chehimi, Mahdi; Yaacoub, Elias; Chehab, Ali; Al-Husseini, Mohammed ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      Wirelessly connected devices play a vital role in people's daily life, especially with the significant rise in the number of devices connected to the Internet and the huge data being generated everyday. However, the open ...
    • IoT Anti-Jamming Strategy Using Game Theory and Neural Network 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...
    • On the Use of Quantum Communications for Securing IoT Devices in the 6G Era 

      Al-Mohammed, Hasan Abbas; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference Paper)
      The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New ...
    • 6G Connectivity in Dense Indoor Environments using Beamforming and Frequency Allocation over IEEE 802.11ad 

      Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference Paper)
      The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically ...
    • New Way to Generating and Simulation QKD 

      Al-Mohammed, Hasan Abbas; Yaacoub, Elias ( Springer Nature , 2021 , Conference Paper)
      Due to the necessity for using the security to the end-users, the conventional methods for security are not sufficient for the highly equipped attacker and new ways to violate security. Moreover, the quantum age is coming ...
    • A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids 

      Abdellatif, Alaa Awad; Amer, Aya; Shaban, Khaled; Massoud, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      In advanced metering infrastructure (AMI), smart meters (SMs) are deployed to periodically forward accurate power consumption readings from the client side to the electric utility companies/operators. Such readings are ...
    • 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 ...
    • 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 ...
    • 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 Paper)
      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 ...
    • Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier 

      Ottakath, Najmath; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed; Khelifi, Fouad ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      Video Source device identification plays a crucial role in video forensics as the proliferation of video capturing devices has given rise to crimes with videos that are challenging to trace. Reliance on metadata extraction ...
    • Smart System for a Self-Driving Scooter Prototype 

      Yousuf, Sabiha; Al-Mannai, Roudha; Al-Naemi, Bana; Al-Maadeed, Somaya; Nawaz, Naveed; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      Traffic problems constitute one of the major issues addressed worldwide. Some universities with an increasing number of students moving at a fast pace face transportation problems almost every day. Hence, this paper aims ...
    • Intelligent Brain Tumor Detector 

      Abdelhamid, Mostafa; Alhato, Mohammed; Elmancy, Ali; Al-Maadeed, Somaya; El Harrouss, Omar ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      A major challenge in brain tumor treatment planning is determination of the tumor extent. Brain tumor disease can be identified with imaging techniques such as MRI. The images produced by an MRI scan can provide a clear ...
    • Vehicle Instance Segmentation Polygonal Dataset for a Private Surveillance System 

      Ottakath, Najmath; Al-Maadeed, Somaya ( MDPI , 2023 , Article)
      Vehicle identification and re-identification is an essential tool for traffic surveillance. However, with cameras at every corner of the street, there is a requirement for private surveillance. Automated surveillance can ...
    • A Pipeline for Story Visualization from Natural Language 

      Zakraoui, Jezia; Saleh, Moutaz; Al-Maadeed, Somaya; Alja’am, Jihad Mohamad ( MDPI , 2023 , Article)
      Generating automatic visualization from natural language texts is an important task for promoting language learning and literacy development for young children and language learners. However, translating a text into a ...
    • Wearable Ultrasound devices for continuous health monitoring: Current and future Prospects 

      Ottakath, Najmath; Al-Maadeed, Somaya; Bouridane, Ahmed; Chowdhury, Muhammad E.H.; Sadasivuni, Kishor Kumar ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      Advancements in wearable electronics and portable sensors have enabled long-term and real-time health monitoring. Among these advancements, wearable ultrasound devices have garnered attention due to their portability, ease ...
    • Pose Estimation of Physiotherapy Exercises using ML Techniques 

      Tluli, Reem; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      This study introduces an innovative methodology for accurately classifying physiotherapy exercises, integrating Pose Estimation and diverse Machine Learning (ML) techniques within the alwaysAI framework. The workflow ...
    • Enhancing Post-Disaster Survivor Detection Using UAV Imagery and Transfer Learning Strategies 

      Ahmed, Nema; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      In disaster response and search and rescue operations, the immediate detection of survivors remains a critical challenge. This research pioneers a novel approach to rapidly detect survivors in disaster areas using UAVs and ...
    • Deep transfer learning for automatic speech recognition: Towards better generalization 

      Hamza, Kheddar; Himeur, Yassine; Al-Maadeed, Somaya; Amira, Abbes; Bensaali, Faycal ( Elsevier B.V. , 2023 , Article)
      Automatic speech recognition (ASR) has recently become an important challenge when using deep learning (DL). It requires large-scale training datasets and high computational and storage resources. Moreover, DL techniques ...