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    The Internet of Things: A Review of Enabled Technologies and Future Challenges 

    Ud Din, Ikram; Guizani, Mohsen; Hassan, Suhaidi; Kim, Byung-Seo; Khurram Khan, Muhammad; Atiquzzaman, Mohammed; Ahmed, Syed Hassan... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article Review)
    The Internet of Things (IoT) is an emerging classical model, envisioned as a system of billions of small interconnected devices for posing the state-of-the-art findings to real-world glitches. Over the last decade, there ...
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    Security and privacy in emerging networks: Part II [Guest Editorial] 

    Guizani, Mohsen; He, Daojing; Ren, Kui; Rodrigues, Joel J. P.; Chan, Sammy; Zhang, Yan... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article Review)
    This is the second part of the " Security and Privacy in Emerging Networks" Feature Topic. In Part I, which was published in April 2015, we selected those contributions that dealt with the theory behind the security and ...
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    Large-scale cognitive cellular systems: Resource management overview 

    Guizani M.; Khalfi B.; Ghorbel M.B.; Hamdaoui B. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article Review)
    This article presents recent advancements in resource management for large-scale DSA systems. Although the problem of spectrum and power allocation is well addressed in the literature, the need for more efficient algorithms ...
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    Enhancing spectral-energy efficiency for LTE-Advanced heterogeneous networks: A users social pattern perspective 

    Zhang, Xing; Zhang, Yan; Yu, Rong; Wang, Wenbo; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article Review)
    The development of LTE-Advanced and beyond cellular networks is expected to offer considerably higher data rates than the existing 3G networks. Among the many potential technologies in LTE-Advanced systems, users' ...
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    Privacy-preserving artificial intelligence in healthcare: Techniques and applications 

    Khalid, Nazish; Qayyum, Adnan; Bilal, Muhammad; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article Review)
    There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ...
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    Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML 

    Rasool, Raihan Ur; Ahmad, Hafiz Farooq; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid ( Elsevier , 2022 , Article Review)
    Internet of Medical Things (IoMT) supports traditional healthcare systems by providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It enables the development of smart hardware as ...
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    Quantum Computing for Healthcare: A Review 

    Ur Rasool, Raihan; Ahmad, Hafiz F.; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid; Anwar, Zahid... more authors ... less authors ( MDPI , 2023 , Article Review)
    In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ...
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    Explainable, trustworthy, and ethical machine learning for healthcare: A survey 

    Rasheed, Khansa; Qayyum, Adnan; Ghaly, Mohammed; Al-Fuqaha, Ala; Razi, Adeel; Qadir, Junaid... more authors ... less authors ( Elsevier , 2022 , Article Review)
    With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ...
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    Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review 

    Ahmad, Hafiz Farooq; Rafique, Wajid; Rasool, Raihan Ur; Alhumam, Abdulaziz; Anwar, Zahid; Qadir, Junaid... more authors ... less authors ( Elsevier , 2023 , Article Review)
    In recent years, the healthcare industry has faced new challenges around staffing, human interaction, and the adoption of telehealth. Technological innovations can improve efficiency, productivity, and patient outcomes, ...
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    Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing 

    Ahmad, Kashif; Alam, Firoj; Qadir, Junaid; Qolomany, Basheer; Khan, Imran; Khan, Talhat; Suleman, Muhammad; Said, Naina; Hassan, Syed Zohaib; Gul, Asma; Househ, Mowafa; Al-Fuqaha, Ala... more authors ... less authors ( JMIR Publications Inc. , 2022 , Article Review)
    Background: Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. To this aim, several mobile apps have been developed. However, there are ever-growing concerns over the working ...
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      Catal, Cagatay (13) Qadir, Junaid (8) Tekinerdogan, Bedir (6) Al-Fuqaha, Ala (5) ... عرض المزيد
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    • Article Review (61)
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      Healthcare (3) Machine learning (3) Privacy (3) AI ethics (2) ... عرض المزيد
    تاريخ النشر
      2020 - 2024 (43) 2013 - 2019 (18)
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    إرسال الأعمال الأكاديميةسياسات الناشرأدلة المستخدمالأسئلة الأكثر تكراراً

    مركز المجموعات الرقمية لجامعة قطر هو مكتبة رقمية تديرها مكتبة جامعة قطر بدعم من إدارة تقنية المعلومات

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    اتصل بنا | ارسل ملاحظاتك | جامعة قطر