Browsing by Author "Abualsaud, Khalid"

Now showing items 1-20 of 57

    • A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals 

      Aboumadi, Abdulla; Yaacoub, Elias; Abualsaud, Khalid ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      With the development of Internet-of-Things (IoT) applications, the concept of smart healthcare applications has gradually emerged to be the main factor in medicine. In fact, this raises the need to have a secure system ...

    • A Malware Detection Method for Health Sensor Data Based on Machine Learning 

      Liu, Hanwen; Helu, Xiaohan; Jin, Chengjie; Lu, Hui; Tian, Zhihong; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Traditional signature-based malware detection approaches are sensitive to small changes in the malware code. Currently, most malware programs are adapted from existing programs. Hence, they share some common patterns but ...

    • A Natural User Interface and Blockchain-Based In-Home Smart Health Monitoring System 

      Rahman, Md. Abdur; Abualsaud, Khalid; Barnes, Stuart; Rashid, Mamunur; Abdullah, Syed Maruf ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockchain consensus for ...

    • A new WDM Application Response Time in WLAN Network and Fixed WiMAX using Distributed 

      Nisar, Kashif; Lawal, Ibrahim A.; Abualsaud, Khalid; El-Fouly, Tarek Mohamed ( IEEE Computer Society , 2014 , Conference)
      Worldwide Interoperability for Microwave Access (WiMAX) and Wireless LAN (WLAN) has emerged as a promising solution for last mile access technology to provide high speed internet access in the residential as well as small ...

    • A New Wearable ECG Monitor Evaluation and Experimental Analysis: Proof of Concept 

      Abualsaud, Khalid; Chowdhury, Muhammad E. H.; Gehani, Abdurrazzak; Yaacoub, Elias; Khattab, Tamer; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Electrocardiogram (ECG) is an electrical activity of the heart, which can be recorded by placing electrodes near heart or on the limbs. ECG is a vital body signal, which reflects the heart health condition. This paper ...

    • 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. , 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 ...

    • A Testbed for Implementing Lightweight Physical Layer Security in an IoT-based Health Monitoring System 

      Hussain, Ahmed Mohamed; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Gehani, Abdurrazzak; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      Telemedicine is a technique that allows patients to have health-related consultations without the need to be physically present in the hospital through phone and video calling technologies. In recent years, researchers ...

    • Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy 

      Gouissem, Ala; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      A jamming combating power allocation strategy is proposed to secure the data communication in IoT networks. The proposed strategy aims to minimize the worst case jamming effect on the intended transmission under multi ...

    • An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring 

      Goyal, Nitin; Nain, Mamta; Singh, Aman; Abualsaud, Khalid; Alsubhi, Khalid; ... more authors ( IEEE Canada , 2022 , Article)
      Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water ...

    • Asthma Assessment Device for Pediatric Patients: A Proof of Concept 

      Al-Ghafran, Muneera; Ahmadizadeh, Fatemeh; Al-Naimi, Asma; Abualsaud, Khalid; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)
      Asthma is a common lung illness that causes breathing difficulties. It affects people of all ages and generally begins in childhood; however, it can also appear in adults for the first time. There is presently no cure, but ...

    • Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection 

      Sakib, Sadman; Fouda, Mostafa M.; Md Fadlullah, Zubair; Abualsaud, Khalid; Yaacoub, Elias; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      With the rapid elevation of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional cloud analytics-based approach is not suitable for a long time and secure health monitoring ...

    • Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education 

      Verma, Anil; Singh, Aman; Lughofer, Edwin; Cheng, Xiaochun; Abualsaud, Khalid ( Springer , 2021 , Article)
      The original version of this article unfortunately contained an error and it has been corrected with this erratum. The Acknowledgements section was missing from this article and should have read "The third author acknowledges ...

    • Crowd counting Using DRL-based segmentation and RL-based density estimation 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...

    • Crowd density estimation for crowd management at event entrance 

      Elharrouss, Omar; Al-Maadeed, Somaya; Abualsaud, Khalid ( Qatar University Press , 2020 , Poster)
      Crowd management is an essential tasks to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd ...

    • 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)
      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 ...

    • Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey 

      Himeur, Yassine; Al-Maadeed, Somaya; Almaadeed, Noor; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Elsevier Ltd , 2022 , Article Review)
      Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ...

    • Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks 

      Al-Mohammed, Hasan Abbas; Al-Ali, Afnan; Yaacoub, Elias; Abualsaud, Khalid; Khattab, Tamer ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...

    • Directional Modulation for Secure RFID in Health Systems 

      Desouky, Gehad; Shehata, Heba; Khattab, Tamer; Abualsaud, Khalid; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Radio frequency identification (RFID) systems are gaining more attention in new frontiers of applications due to their simplicity, low size factor and low cost of deployment. One of the emerging frontiers of applications ...

    • Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration 

      Aboualola, Mohamed; Abualsaud, Khalid; Khattab, Tamer; Zorba, Nizar; Hassanein, Hossam S. ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ...

    • Effect of vortex order on helical-phased donut mode launch in multimode fiber 

      Amphawan, Angela; Fazea, Yousef; Elfouly, Tarek; Abualsaud, Khalid ( American Scientific Publishers , 2015 , Article)
      Optical fiber sensors based on mode division multiplexing (MDM) play an increasingly vital role for real-time multi-parameter measurements. For multimode fibers, the central core region typically has defects in the refractive ...