• Digital forensic analysis for source video identification: A survey 

      Akbari, Younes; Al-maadeed, Somaya; Elharrouss, Omar; Khelifi, Fouad; Lawgaly, Ashref; ... more authors ( Elsevier , 2022 , Article Review)
      In recent years, many digital devices have been equipped with a video camera that allows videos to be recorded in good quality, free of charge and without restrictions. Concurrently, the widespread use of digital videos ...
    • Effective Collaboration in the Management of Access Control Policies: A Survey of Tools 

      Fernandez, Rachael; Cheng, Peter C.-H.; Nhlabatsi, Armstrong; Khan, Khaled Md.; Fetais, Noora ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article Review)
      Access control (AC) tools implement security policies for controlling access to various assets, including file systems, physical resources, and social media posts. They are also used as pedagogical tools for exploring and ...
    • 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' ...
    • Explainable, trustworthy, and ethical machine learning for healthcare: A survey 

      Rasheed, Khansa; Qayyum, Adnan; Ghaly, Mohammed; Al-Fuqaha, Ala; Razi, Adeel; ... more 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 ...
    • 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; ... more 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 ...
    • Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review 

      Alkhateeb, Ahmed; Catal, Cagatay; Kar, Gorkem; Mishra, Alok ( MDPI , 2022 , Article Review)
      In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ...
    • Image Generation: A Review 

      Elasri, Mohamed; Elharrouss, Omar; Al-Maadeed, Somaya; Tairi, Hamid ( Springer , 2022 , Article Review)
      The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ...
    • Intrusion response systems for cyber-physical systems: A comprehensive survey 

      Bashendy, May; Tantawy, Ashraf; Erradi, Abdelkarim ( Elsevier , 2023 , Article Review)
      Cyberattacks on Cyber-Physical Systems (CPS) are on the rise due to CPS increased networked connectivity and may cause costly environmental hazards as well as human and financial loss. This necessitates designing and ...
    • 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 ...
    • 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; ... more 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, ...
    • Live migration of virtual machine memory content in networked systems 

      Haris, Raseena M.; Khan, Khaled M.; Nhlabatsi, Armstrong ( Elsevier , 2022 , Article Review)
      Enterprises are increasingly outsourcing their computing needs to cloud computing. This dependency on cloud services requires uninterrupted and high availability of services. However, achieving the availability of services ...
    • Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review 

      Jorayeva, Manzura; Akbulut, Akhan; Catal, Cagatay; Mishra, Alok ( MDPI , 2022 , Article Review)
      Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ...
    • Machine-to-Machine (M2M) communications: A survey 

      Verma, Pawan Kumar; Verma, Rajesh; Prakash, Arun; Agrawal, Ashish; Naik, Kshirasagar; ... more authors ( Academic Press , 2016 , Article Review)
      Machine-to-Machine (M2M) communication is a promising technology for next generation communication systems. This communication paradigm facilitates ubiquitous communications with full mechanical automation, where a large ...
    • Metamorphic relation automation: Rationale, challenges, and solution directions 

      Altamimi, Emran; Elkawakjy, Abdullah; Catal, Cagatay ( John Wiley and Sons Ltd , 2022 , Article Review)
      Metamorphic testing addresses the issue of the oracle problem by comparing results transformation from multiple test executions. The relationship that governs the output transformation is called metamorphic relation. ...
    • Obstacles and features of health information systems: A systematic literature review 

      Tummers, J.; Tekinerdogan, B.; Tobi, H.; Catal, C.; Schalk, B. ( Elsevier , 2021 , Article Review)
      Background: Currently many healthcare systems are supported by an increasing set of Health Information Sys-tems (HISs), which assist the activities for multiple stakeholders. The literature on HISs is, however, fragmented ...
    • On the fairness of resource allocation in wireless mesh networks: A survey 

      Ahmed I.; Mohammed A.; Alnuweiri H. ( Kluwer Academic Publishers , 2013 , Article Review)
      This article presents a comprehensive survey of resource allocation techniques in Wireless Mesh Networks (WMNs). Wireless mesh networks have emerged as a key technology for next generation application specific multi-hop ...
    • Precision nutrition: A systematic literature review 

      Kirk, Daniel; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article Review)
      Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
    • Predictive maintenance using digital twins: A systematic literature review 

      van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2022 , Article Review)
      Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
    • 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 ...
    • Quantum Computing for Healthcare: A Review 

      Ur Rasool, Raihan; Ahmad, Hafiz F.; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid; ... more 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 ...