Now showing items 81-100 of 2402

    • Video steganography: recent advances and challenges 

      Kunhoth, Jayakanth; Subramanian, Nandhini; Al-Maadeed, Somaya; Bouridane, Ahmed ( Springer , 2023 , Article)
      Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing ...
    • The Detection of Dysarthria Severity Levels Using AI Models: A Review 

      Al-Ali, Afnan; Al-Maadeed, Somaya; Saleh, Moutaz; Naidu, Rani Chinnappa; Alex, Zachariah C.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      Dysarthria, a speech disorder stemming from neurological conditions, affects communication and life quality. Precise classification and severity assessment are pivotal for therapy but are often subjective in traditional ...
    • Automated systems for diagnosis of dysgraphia in children: a survey and novel framework 

      Kunhoth, Jayakanth; Al-Maadeed, Somaya; Kunhoth, Suchithra; Akbari, Younes; Saleh, Moutaz ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)
      Learning disabilities, which primarily interfere with basic learning skills such as reading, writing, and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part ...
    • Heuristic Algorithm for Obtaining Approximate Optimum Stratification with Mixture of Ratio and Product Estimators 

      Rizvi, S. E.H.; Danish, Faizan; Jan, Rafia; Mageed, Ismail A.; Al Maadeed, Sumaya; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      In this investigation, we examined the impact of employing simple random sampling on the stratification points pertaining to the two independent variables. The study focused on a variable (X) exhibiting a robust correlation, ...
    • Drone-type-Set: Drone types detection benchmark for drone detection and tracking 

      AlDosari, Khloud; Osman, AIbtisam; Elharrouss, Omar; Al-Maadeed, Somaya; Chaari, Mohamed Zied ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      The Unmanned Aerial Vehicles (UAVs) market has been significantly growing and Considering the availability of drones at low-cost prices the possibility of misusing them, for illegal purposes such as drug trafficking, spying, ...
    • Crowd density estimation with a block-based density map generation 

      Elharrouss, Omar; Mohammed, Hanadi Hassen; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      Crowd management is one of the challenging tasks in computer vision especially crowd counting which can be the key solution for many surveillance applications. But the estimation of crowdedness in a scene can be related ...
    • Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision 

      Omar, Elharrouss; Akbari, Younes; Almadeed, Noor; Al-Maadeed, Somaya ( Elsevier Ireland Ltd , 2024 , Article)
      To understand the real world using various types of data, Artificial Intelligence (AI) is the most used technique nowadays. While finding the pattern within the analyzed data represents the main task. This is performed by ...
    • An Analytical Study on the Utility of RGB and Multispectral Imagery with Band Selection for Automated Tumor Grading 

      Kunhoth, Suchithra; Al-Maadeed, Somaya ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
      The implementation of tumor grading tasks with image processing and machine learning techniques has progressed immensely over the past several years. Multispectral imaging enabled us to capture the sample as a set of image ...
    • Seven Challenges for Communication in Modern Railway Systems 

      Yaacoub, Elias; Alsharoa, Ahmad; Ghazzai, Hakim; Alouini, Mohamed Slim ( Frontiers Media S.A. , 2020 , Article)
      To meet the increasing demands for passenger data rates, modern railway communication networks face significant challenges. The advent of 5G communications after the long-term evolution (LTE) and LTE-Advanced (LTE-A) systems ...
    • Seven Challenges for Communication in Modern Railway Systems 

      Yaacoub, Elias; Alsharoa, Ahmad; Ghazzai, Hakim; Alouini, Mohamed Slim ( Frontiers Media S.A. , 2020 , Article)
      To meet the increasing demands for passenger data rates, modern railway communication networks face significant challenges. The advent of 5G communications after the long-term evolution (LTE) and LTE-Advanced (LTE-A) systems ...
    • Securing internet of medical things systems: Limitations, issues and recommendations 

      Jean-Paul A., Yaacoub; Noura, Mohamad; Noura, Hassan N.; Salman, Ola; Yaacoub, Elias; ... more authors ( Elsevier , 2019 , Article)
      Traditional health-care systems suffer from new challenges associated with the constant increase in the number of patients. In order to address this issue, and to increase the accuracy, reliability, efficiency, and ...
    • A Practical TDMA Modification of IEEE 802.11 for Ultra-Dense IoT-Health with Fairness Considerations 

      Modad, Bassel Abou Ali; Yaacoub, Elias; Kassir, Abdallah; Dawy, Zaher ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      Over the last decades, wireless networks have experienced major growth in their enabling technologies and global penetration, with the Internet of Things (IoT) paradigm witnessing a significant growth. To meet the high ...
    • A novel pandemic tracking map: From theory to implementation 

      Gouissem, Ala; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Article)
      The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...
    • Efficient Fronthaul and Backhaul Connectivity for IoT Traffic in Rural Areas 

      Yaacoub, Elias; Alouini, Mohamed Slim ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Article)
      In this article, internet of things (IoT) connectivity in rural areas is investigated. Both fronthaul and backhaul considerations are studied. First, intelligent radio resource management (RRM) and network planning techniques ...
    • Towards development of a tele-mentoring framework for minimally invasive surgeries 

      Shabir, Dehlela; Abdurahiman, Nihal; Padhan, Jhasketan; Trinh, May; Balakrishnan, Shidin; ... more authors ( John Wiley & Sons , 2021 , Article)
      Background: Tele-mentoring facilitates the transfer of surgical knowledge. The objective of this work is to develop a tele-mentoring framework that enables a specialist surgeon to mentor an operating surgeon by transferring ...
    • On the Performance of Mixed RF-VLC Relaying Systems for HST Communication 

      Singh, Rupender; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)
      The emerging fifth generation (5G) wireless communication systems are a promising solution to support the high data rate for high-speed trains (HSTs). In this article, we propose a cooperative mixed radio frequency ...
    • Assessing Virtual Reality Environment for Remote Telementoring during Open Surgeries 

      Owais, Waleed Bin; Padhan, Jhasketan; Anbatawi, Malek; Al-Ansari, Abdulla; Mohammed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)
      In a telementoring setup for open surgeries, the motion of virtual surgical instruments is superimposed onto the operative field. This assists a mentor to effectively convey to the mentee the information pertaining to the ...
    • Telementoring System Assessment Integrated with Laparoscopic Surgical Simulators 

      Shabir, Dehlela; Kharbech, Sarra; Padhan, Jhasketan; Yaacoub, Elias; Mohammed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Conference Paper)
      Laparoscopic simulators have emerged as effective tools for surgical training. The virtual environment is used in the simulator for the training of procedure-specific surgical skills. These simulators can be enhanced if ...
    • Evaluating a Remote Tele-Mentoring Gameplay Setup for Teaching Laparoscopic Suturing Skills 

      Shabir, Dehlela; Balakrishnan, Shidin; Padhan, Jhasketan; Yaacoub, Elias; Mohammed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Conference Paper)
      The work presents an evaluation study to investigate the potency of remote tele-mentoring gameplay for training in minimally invasive surgeries, as compared to training through traditional in-person methods for teaching ...
    • Intelligent DRL-Based Adaptive Region of Interest for Delay-Sensitive Telemedicine Applications 

      Soliman, Abdulrahman; Mohamed, Amr; Yaacoub, Elias; Navkar, Nikhil V.; Erbad, Aiman ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Conference Paper)
      Telemedicine applications have recently received substantial potential and interest, especially after the COVID-19 pandemic. Remote experience will help people get their complex surgery done or transfer knowledge to local ...