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    Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments 

    Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)
    The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ...
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    Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications 

    Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
    Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ...
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    Improving In-Home Appliance Identification Using Fuzzy-Neighbors-Preserving Analysis Based QR-Decomposition 

    Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)
    This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In ...
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    Efficient multi-descriptor fusion for non-intrusive appliance recognition 

    Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
    Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ...
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    Revolutionizing ECMO simulation with affordable yet high-Fidelity technology 

    Al Disi, Mohammed; Alsalemi, Abdullah; Alhomsi, Yahya; Bensaali, Faycal; Amira, Abbes; Alinier, Guillaume... more authors ... less authors ( Elsevier , 2018 , Article)
    Simulation-based training (SBT) is becoming a necessity in educating healthcare professionals who work in high-risk environments, such as the intensive care unit (ICU) [1]. This applies to extracorporeal membrane oxygenation ...
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    Design and implementation of a gas identification system on Zynq SoC platform 

    Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal; Benammar, Mohieddine; Akbar, Muhammad Ali; Hassan, Muhammad; Bermak, Amine... more authors ... less authors ( Asian Research Publishing Network , 2015 , Article)
    The Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM ...
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    Using big data and federated learning for generating energy efficiency recommendations 

    Varlamis, Iraklis; Sardianos, Christos; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
    Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home ...
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    Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC 

    Ali, Amine Ait Si; Zhai, Xiaojun; Amira, Abbes; Bensaali, Faycal; Ramzan, Naeem ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
    This paper presents an innovative and safe connected health solution for human identification. The system consists of the encryption and decryption of ECG signals using the advanced encryption standard (AES) as well as the ...
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    Impact of feature reduction and operating temperature on gas identification 

    Akbar, Muhammad Ali; Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal; Benammar, Mohieddine Amor; Hassan, Muhammad; Bermak, Amine... more authors ... less authors ( Asian Research Publishing Network , 2015 , Article)
    Tin-oxide based gas sensor requires an operating temperature typically in the range of 200 °C to 400 °C and its performance dependents on this temperature. In this paper a deep examination has been made to analyze the best ...
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    High Level Synthesis Based E-Nose System for Gas Applications 

    Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal; Benammar, Mohieddine; Hassan, Muhammad; Bermak, Amine... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
    This paper proposes a hardware/software co-design approach using the Zynq platform for the implementation of an electronic nose (EN) system based on principal component analysis (PCA) as a dimensionality reduction technique ...
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