Now showing items 1227-1246 of 2201

    • Interactive Graphical Access Control Tools 

      Fernandez, Rachael; Cheng, Peter; Smith, Ben; Fenton, Tania; Boraey, Yehia; ... more authors ( IEEE Computer Society , 2023 , Conference Paper)
      Access control (AC) policy creation and implementation is challenging because of its complex structure and specifications. This paper explores the potential of two novel interactive graphical displays whose design draws ...
    • Interactive visual study for residential energy consumption data 

      Al-Kababji, Ayman; Alsalemi, Abdullah; Himeur, Yassine; Fernandez, Rachael; Bensaali, Faycal; ... more authors ( Elsevier , 2022 , Article)
      Interactive data visualization tools for residential energy data are instrumental indicators for analyzing end user behavior. These visualizations can be used as continuous home feedback systems and can be accessed from ...
    • Interest-determining web browser 

      Shaban, Khaled Bashir; Chan, Joannes; Szeto, Raymond (2010 , Conference Paper)
      This paper investigates the application of data-mining techniques on a user's browsing history for the purpose of determining the user's interests. More specifically, a system is outlined that attempts to determine certain ...
    • Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation 

      Lv, Junmei; Song, Bin; Guo, Jie; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Nowadays, the recommendation systems are applied in the fields of e-commerce, video websites, social networking sites, which bring great convenience to people's daily lives. The types of information are diversified and ...
    • Interestingness filtering engine: Mining Bayesian networks for interesting patterns 

      Malhas, Rana; Al Aghbari, Zaher ( Elsevier Ltd , 2009 , Article)
      In this paper, we present a new measure of interestingness to discover interesting patterns based on the user’s background knowledge, represented by a Bayesian network. The new measure (sensitivity measure) captures the ...
    • Interference Aware Inverse EEDBR protocol for Underwater WSNs 

      Shah, Mehreen; Javaid, Nadeem; Imran, Muhammad; Guizani, Mohsen; Khan, Zahoor Ali; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The unique characteristics of Underwater Wireless Sensor Networks (UWSNs) attracted the research community to explore different aspects of these networks. Routing is one of the most important and challenging function in ...
    • Interference-aware energy-efficient cross-layer design for healthcare monitoring applications 

      Awad, A.; Mohamed, A.; El-Sherif, A.A.; Nasr, O.A. ( Elsevier , 2014 , Article)
      Body Area Sensor Networks (BASNs) leverage wireless communication technologies to provide healthcare stakeholders with innovative tools and solutions that can revolutionize healthcare provisioning; BASNs thus promotes new ...
    • Interference-based optimal power-efficient access scheme for cognitive radio networks 

      Anwar A.H.; El Shafie A.; Mohamed A.; Elbatt T.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      In this paper, we propose a new optimization-based access strategy of multi-packet reception (MPR) channel for multiple secondary users (SUs) accessing the primary user (PU) spectrum. We devise an analytical model that ...
    • Internet of things mobility over information-centric/named-data networking 

      Nour, Boubakr; Ibn-Khedher, Hatem; Moungla, Hassine; Afifi, Hossam; Li, Fan; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Information-centric networking (ICN) is a content-oriented network that uses content instead of traditional IP addresses, it facilitates the content retrieval and calculates downstream paths without the need of an optimal ...
    • Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications 

      Al-Fuqaha, Ala; Guizani, Mohsen; Mohammadi, Mehdi; Aledhari, Mohammed; Ayyash, Moussa ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication ...
    • Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: Application to children with asthma 

      Alsaad R.; Malluhi Q.; Janahi I.; Boughorbel S. ( BioMed Central Ltd. , 2019 , Article)
      Background: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models ...
    • Intersection Fog-Based Distributed Routing for V2V Communication in Urban Vehicular Ad Hoc Networks 

      Sun, Gang; Zhang, Yijing; Yu, Hongfang; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Due to the characteristics of urban vehicular ad hoc networks (VANETs), many difficulties exist when designing routing protocols. In this paper, we focus on designing an efficient routing strategy for vehicle-to-vehicle ...
    • Introduction to the Special Section on Artificial Intelligence Security: Adversarial Attack and Defense 

      Du, Xiaojiang; Susilo, Willy; Guizani, Mohsen; Tian, Zhihong ( IEEE Computer Society , 2021 , Other)
      5G and beyond (B5G) networks are leading a digital revolution in telecommunication in both academia and industry. It brings new paradigms in many aspects of people's daily lives due to its advantages. However, it still ...
    • 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 ...
    • Investigating 3D holoscopic visual content upsampling using super-resolution for cultural heritage digitization 

      Belhi, Abdelhak; Bouras, Abdelaziz; Alfaqheri, Taha; Aondoakaa, Akuha Solomon; Sadka, Abdul Hamid ( Elsevier B.V. , 2019 , Article)
      Through this paper, we aim at investigating the impact of using deep learning-based technologies such as super-resolution on Holoscopic 3D (H3D) images. Holoscopic 3D imaging is a technology that aims at providing ...
    • Investigating low-delay deep learning-based cultural image reconstruction 

      Belhi, Abdelhak; Al-Ali, Abdulaziz Khalid; Bouras, Abdelaziz; Foufou, Sebti; Yu, Xi; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
    • Investigating the Use of Autoencoders for Gait-based Person Recognition 

      Cheheb I.; Al-Maadeed N.; Al-Madeed S.; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In recent years, gait has been growing as a biometric for person recognition at a distance. However, factors such as view angles and carrying conditions often make this task challenging. This paper proposes a solution to ...
    • An IoT and Edge Computing Based Framework for Charge Scheduling and EV Selection in V2G Systems 

      Chamola, Vinay; Sancheti, Ashutosh; Chakravarty, Sombuddha; Kumar, Neeraj; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The daily fluctuations in the power requirements and the regulation of voltage and frequency cause substantial energy dissipation. These lead to a reduction in the operational efficiency of the power grid. V2G (Vehicle 2 ...
    • IoT Anti-Jamming Strategy Using Game Theory and Neural Network 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...
    • IoT Anti-Jamming Strategy Using Game Theory and Neural Network 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...