Now showing items 994-1013 of 2201

    • Federated Learning Stability Under Byzantine Attacks 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ...
    • FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning 

      Aliya, Tabassum; Erbad, Aiman; Lebda, Wadha; Mohamed, Amr; Guizani, Mohsen ( Elsevier , 2022 , Article)
      Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
    • Field data forecasting using lstm and bi-lstm approaches 

      Suebsombut, Paweena; Sekhari, Aicha; Sureephong, Pradorn; Belhi, Abdelhak; Bouras, Abdelaziz ( MDPI , 2021 , Article)
      Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ...
    • Financial events detection by conceptual news categorization 

      Al-Jaoua, Ali; Al'Jaam, Jihad; Hammami, Helmi; Ferjani, Fethi; Laban, Firas; ... more authors ( IEEE , 2010 , Conference Paper)
      In the scope of Financial Watch project, several targeted events have been required by contacted users in banking and investment domains. Financial news are classified with respect of the list of desired events. In this ...
    • Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review 

      Sheikh, Sarah; Shaban, Khaled ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Health Organization (WHO), ...
    • Flexible advance reservation models for virtual network scheduling 

      Bai, H.; Gu, F.; Shaban, K.; Crichigno, J.; Khan, S.; ... more authors ( IEEE Computer Society , 2015 , Conference Paper)
      Advance reservation services allows users to pre-reserve network resources at future instants in time. These offerings are already being used by a wide range of applications in scientific/grid computing, datacenter backup, ...
    • Flexible hardware-managed isolated execution: Architecture, software support and applications 

      Evtyushkin D.; Elwell J.; Ozsoy M.; Ponomarev D.; Ghazaleh N.A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      We consider the problem of how to provide an execution environment where the application's secrets are safe even in the presence of malicious system software layers. We propose Iso-X- A flexible, fine-grained hardware-supported ...
    • Flipping introductory programming class: Potentials, challenges, and research gaps 

      Alhazbi S.; Halabi O. ( Association for Computing Machinery , 2018 , Conference Paper)
      This paper discusses the suitability of adopting flipped classroom model as instructional method to teach introductory computer programming courses at higher education. It explores how the potentials of this model can be ...
    • Flying Social Networks: Architecture, Challenges and Open Issues 

      Shi, Junling; Zhao, Liang; Wang, Xingwei; Guizani, Mohsen; Gaanin, Haris; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      This article presents a flying social network (FSN), which is a kind of flying ad hoc network (FANET) that implies human attributes and relationships. By the accurate analyzed social relationship of unmanned aerial vehicle ...
    • Fog Computing Potentials, Applications, and Challenges 

      Haouari F.; Faraj R.; Alja'Am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The emergence of Internet of Things (IoT) and the technological advancements of smart devices and wearable gadgets, are empowering new real-Time applications such as health monitoring, traffic monitoring, tele-surveillance, ...
    • Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid 

      Liu, Jingwei; Zhao, Mengjiao; Bao, Jiajia; Sun, Rong; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The smart grid is already widespread for the purpose of managing energy generation and distribution. In this system, frequent interactions between devices generate mass data, which requires robust processing capability. ...
    • Folksonomy link prediction based on a tripartite graph for tag recommendation 

      Rawashdeh, Majdi; Kim, Heung-Nam; Alja'am, Jihad Mohamad; El Saddik, Abdulmotaleb ( Springer , 2013 , Article)
      Nowadays social tagging has become a popular way to annotate, search, navigate and discover online resources, in turn leading to the sheer amount of user-generated metadata. This paper addresses the problem of recommending ...
    • Forced spectrum access termination probability analysis under restricted channel handoff 

      NoroozOliaee, MohammadJavad; Hamdaoui, Bechir; Znati, Taieb; Guizani, Mohsen (2012 , Conference Paper)
      Most existing works on cognitive radio networks assume that cognitive (or secondary) users are capable of switching/jumping to any available channel, regardless of the frequency gap between the target and the current ...
    • Forensic handwritten document management system 

      Al-Maadeed, Somaya; Amire F.; Hamza S.K.; Al-Lebda W. ( IEEE , 2008 , Conference Paper)
      [No abstract available]
    • Formal verification of energy consumption for an EEG monitoring wireless body area sensor network 

      Ahmed, Asad; Hasan, Osman; Tahar, Sofiene; Mohamed, Amr ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Wireless Body Area Sensor Networks (BASNs) are increasingly gaining notable attention in the domain of real-time and non-invasive human health care due to their cost-effectiveness. Minimizing their energy consumption under ...
    • Formalizing dynamic behaviors of smart contract workflow in smart healthcare supply chain 

      Rahman, Mohammad Saidur; Khalil, Ibrahim; Bouras, Abdelaziz ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      We present a formal model for smart contract workflow using Colored Petri-Net in the context of a blockchain-based healthcare supply chain in this paper. Ensuring traceability of products is a crucial issue in a smart ...
    • FPGA for 5G: Re-configurable hardware for next generation communication 

      Chamola, Vinay; Patra, Sambit; Kumar, Neeraj; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Next generation communication relies on standardized protocols, heterogeneous architectures and advanced technologies that are envisioned to bring ubiquitous and seamless connectivity. This evolution of communication will ...
    • FPGA implementation of a hardware XTEA light encryption engine in co-design computing systems 

      AlMeer, Mohamed H. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In the era of viruses and hackers targeting high-tech information transported across the Internet, security is becoming a paramount goal. A cryptographic system is a method of hiding information where only the person owning ...
    • FPGA implementation of DWT EEG data compression for wireless body sensor networks 

      Elsayed, Mohamed; Badawy, Ahmed; Mahmuddin, Massudi; Elfouly, Tarek; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Wireless body sensor networks (WBSN) provide an appreciable aid to patients who require continuous care and monitoring. One key application of WBSN is mobile health (mHealth) for continuous patient monitoring, acquiring ...
    • FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction 

      Rabah H.; Amira A.; Mohanty B.K.; Al-Maadeed, Somaya; Meher P.K. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the orthogonal matching pursuit (OMP) algorithm. We have analyzed ...