Search Results - "Elgendy, Ibrahim A."

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  1. 1

    Efficient and Secure Multi-User Multi-Task Computation Offloading for Mobile-Edge Computing in Mobile IoT Networks by Elgendy, Ibrahim A., Zhang, Wei-Zhe, Zeng, Yiming, He, Hui, Tian, Yu-Chu, Yang, Yuanyuan

    “…Mobile edge computing (MEC) is a new paradigm to alleviate resource limitations of mobile IoT networks through computation offloading with low latency. This…”
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  2. 2

    Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing by Yadav, Rahul, Zhang, Weizhe, Kaiwartya, Omprakash, Singh, Prabhat Ranjan, Elgendy, Ibrahim A., Tian, Yu-Chu

    Published in IEEE access (2018)
    “…In cloud computing, high energy consumption and service-level agreements (SLAs) violation are the challenging issues considering that the demand for…”
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  3. 3

    Energy-Aware and Secure Task Offloading for Multi-Tier Edge-Cloud Computing Systems by Alharbi, Hatem A, Aldossary, Mohammad, Almutairi, Jaber, Elgendy, Ibrahim A

    Published in Sensors (Basel, Switzerland) (20-03-2023)
    “…Nowadays, Unmanned Aerial Vehicle (UAV) devices and their services and applications are gaining popularity and attracting considerable attention in different…”
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  4. 4

    Advanced Deep Learning-Based Computational Offloading for Multilevel Vehicular Edge-Cloud Computing Networks by Khayyat, Mashael, Elgendy, Ibrahim A., Muthanna, Ammar, Alshahrani, Abdullah S., Alharbi, Soltan, Koucheryavy, Andrey

    Published in IEEE access (2020)
    “…The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular…”
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  5. 5

    Optimizing Task Offloading Energy in Multi-User Multi-UAV-Enabled Mobile Edge-Cloud Computing Systems by Alhelaly, Soha, Muthanna, Ammar, Elgendy, Ibrahim A.

    Published in Applied sciences (01-07-2022)
    “…With the emergence of various new Internet of Things (IoT) devices and the rapid increase in the number of users, enormous services and complex applications…”
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  6. 6

    Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification by Hammad, Mohamed, Meshoul, Souham, Dziwiński, Piotr, Pławiak, Paweł, Elgendy, Ibrahim A

    Published in Sensors (Basel, Switzerland) (01-12-2022)
    “…An arrhythmia happens when the electrical signals that organize the heartbeat do not work accurately. Most cases of arrhythmias may increase the risk of stroke…”
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  7. 7

    Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model by Hammad, Mohamed, Chelloug, Samia Allaoua, Alkanhel, Reem, Prakash, Allam Jaya, Muthanna, Ammar, Elgendy, Ibrahim A, Pławiak, Paweł

    Published in Sensors (Basel, Switzerland) (29-08-2022)
    “…An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various heart-related conditions in patients. An automated diagnostic…”
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  8. 8

    Joint Task Offloading, Resource Allocation, and Load-Balancing Optimization in Multi-UAV-Aided MEC Systems by Elgendy, Ibrahim A., Meshoul, Souham, Hammad, Mohamed

    Published in Applied sciences (01-02-2023)
    “…Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks face significant challenges in executing delay-sensitive and…”
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  9. 9

    Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers by Al-Ansi, Ahmed, Al-Ansi, Abdullah M., Muthanna, Ammar, Elgendy, Ibrahim A., Koucheryavy, Andrey

    Published in Future internet (01-05-2021)
    “…Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future…”
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  10. 10

    Beyond 5G Network Architecture Study: Fractal Properties of Access Network by Paramonov, Alexander, Muthanna, Ammar, Aboulola, Omar I., Elgendy, Ibrahim A., Alharbey, Riad, Tonkikh, Evgeny, Koucheryavy, Andrey

    Published in Applied sciences (01-10-2020)
    “…Wireless networks connect various devices through radio waves in which the network connection may have different structures. Moreover, the network structure is…”
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  11. 11

    DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework by Artem, Volkov, Vadim, Kovalenko, Elgendy, Ibrahim A., Muthanna, Ammar, Koucheryavy, Andrey

    Published in Future internet (01-01-2022)
    “…Nowadays, 5G networks are emerged and designed to integrate all the achievements of mobile and fixed communication networks, in which it can provide ultra-high…”
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  12. 12

    Smart Healthcare: RL-Based Task Offloading Scheme for Edge-Enable Sensor Networks by Yadav, Rahul, Zhang, Weizhe, Elgendy, Ibrahim A., Dong, Guozhong, Shafiq, Muhammad, Laghari, Asif Ali, Prakash, Shiv

    Published in IEEE sensors journal (15-11-2021)
    “…With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which equipped with sensors. These networked sensors are used to gather…”
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  13. 13

    Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms by Elgendy, Ibrahim A., Zhang, Wei-Zhe, He, Hui, Gupta, Brij B., Abd El-Latif, Ahmed A.

    Published in Wireless networks (01-04-2021)
    “…Computation offloading at mobile edge computing (MEC) servers can mitigate the resource limitation and reduce the communication latency for mobile devices…”
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  14. 14

    Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems by Zhang, Wei-Zhe, Elgendy, Ibrahim A., Hammad, Mohamed, Iliyasu, Abdullah M., Du, Xiaojiang, Guizani, Mohsen, El-Latif, Ahmed A. Abd

    Published in IEEE internet of things journal (15-05-2021)
    “…Mobile-edge computing (MEC) has emerged as a new computing paradigm with great potential to alleviate resource limitations attributed to mobile device users…”
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  15. 15

    Secure Task Offloading in Blockchain-Enabled Mobile Edge Computing With Deep Reinforcement Learning by Samy, Ahmed, Elgendy, Ibrahim A., Yu, Haining, Zhang, Weizhe, Zhang, Hongli

    “…Mobile Edge Computing (MEC) is a promising and fast-developing paradigm that provides cloud services at the edge of the network. MEC enables IoT devices to…”
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  16. 16

    Two-Phase Industrial Manufacturing Service Management for Energy Efficiency of Data Centers by Zhang, Weizhe, Yadav, Rahul, Tian, Yu-Chu, Tyagi, Sumarga Kumar Sah, Elgendy, Ibrahim A., Kaiwartya, Omprakash

    “…Data-driven industrial manufacturing services are proliferating. They use large amounts of data generated from Industrial-Internet-of-Things (IIoT) devices for…”
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  17. 17

    An Efficient and Secured Framework for Mobile Cloud Computing by Elgendy, Ibrahim A., Zhang, Wei-Zhe, Liu, Chuan-Yi, Hsu, Ching-Hsien

    Published in IEEE transactions on cloud computing (01-01-2021)
    “…Smartphone devices are widely used in our daily lives. However, these devices exhibit limitations, such as short battery lifetime, limited computation power,…”
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  18. 18

    SDLER: stacked dedupe learning for entity resolution in big data era by Ngueilbaye, Alladoumbaye, Wang, Hongzhi, Mahamat, Daouda Ahmat, Elgendy, Ibrahim A.

    Published in The Journal of supercomputing (01-10-2021)
    “…In the Big Data Era, Entity Resolution (ER) faces many challenges such as high scalability, the coexistence of complex similarity metrics, tautonymy and…”
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  19. 19

    Convergence of Blockchain and IoT for Secure Transportation Systems in Smart Cities by Abbas, Khizar, Tawalbeh, Lo’Ai A., Rafiq, Ahsan, Muthanna, Ammar, Elgendy, Ibrahim A., Abd El-Latif, Ahmed A.

    “…Smart cities provide citizens with smart and advanced services to improve their quality of life. However, it has been observed that the collection, storage,…”
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  20. 20

    Efficient Multi-Player Computation Offloading for VR Edge-Cloud Computing Systems by Alshahrani, Abdullah, Elgendy, Ibrahim A., Muthanna, Ammar, Alghamdi, Ahmed Mohammed, Alshamrani, Adel

    Published in Applied sciences (01-08-2020)
    “…Virtual reality (VR) is considered to be one of the main use cases of the fifth-generation cellular system (5G). In addition, it has been categorized as one of…”
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