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    Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation 

    Chen, Yuwen; Song, Bin; Zeng, Yuan; Du, Xiaojiang; Guizani, Mohsen ( Elsevier Ltd , 2021 , Article)
    In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ...
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    An optimized algorithm for optimal power flow based on deep learning 

    Qinggang, Su; Khan, Habib Ullah; Khan, Imran; Choi, Bong Jun; Wu, Falin; Aly, Ayman A.... more authors ... less authors ( Elsevier , 2021 , Article)
    With the increasing requirements for power system transient stability assessment, the research on power system transient stability assessment theory and methods requires not only qualitative conclusions about system transient ...
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    Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things 

    Haseeb, Khalid; Ud Din, Ikram; Almogren, Ahmad; Ahmed, Imran; Guizani, Mohsen ( Elsevier Ltd , 2021 , Article)
    Internet of Things (IoT) consists of a huge number of sensors along with physical things to gather and forward data intelligently. Green IoT applications based on Wireless Sensor Networks (WSNs) are developed in various ...
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    AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives 

    Himeur, Yassine; Elnour, Mariam; Fadli, Fodil; Meskin, Nader; Petri, Ioan; Rezgui, Yacine; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Nature , 2022 , Article)
    In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ...
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    The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings 

    Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)
    Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
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    Deep and transfer learning for building occupancy detection: A review and comparative analysis 

    Sayed, Aya Nabil; Himeur, Yassine; Bensaali, Faycal ( Elsevier , 2022 , Article)
    The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...
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    Flow-based intrusion detection algorithm for supervisory control and data acquisition systems: A real-time approach 

    Teixeira, M. A.; Zolanvari, M.; Khan, K. M.; Jain, R.; Meskin, Nader ( John Wiley and Sons Inc , 2021 , Article)
    Intrusion detection in supervisory control and data acquisition (SCADA) systems is integral because of the critical roles of these systems in industries. However, available approaches in the literature lack representative ...
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    Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data 

    Abdellatif A.A.; Mhaisen N.; Mohamed A.; Erbad A.; Guizani M.; Dawy Z.; Nasreddine W.... more authors ... less authors ( Elsevier B.V. , 2022 , Article)
    Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ...
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    FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums 

    Elharrouss O.; Almaadeed N.; Abualsaud K.; Al-Maadeed S.; Al-Ali A.; Mohamed A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
    Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc. Counting ...
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    Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems 

    Chkirbene Z.; Abdellatif A.A.; Mohamed A.; Erbad A.; Guizani M. ( IEEE Computer Society , 2022 , Article)
    Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ...
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