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    Browsing by Author "Bensaali, Faycal"

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        A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation 

        Alsalemi, Abdullah; Alhomsi, Yahya; Bensaali, Faycal; Hssain, Ali Ait ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
        Medical simulators, employed in extracorporeal membrane oxygenation (ECMO), are burdened with costly equipment and low-fidelity methodologies. This dichotomy necessitated a new approach that eliminates high-costs and ...
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        A method towards cerebral aneurysm detection in clinical settings 

        Dakua, Sarada Prasad; Abinahed, Julien; Al-Ansari, Abdulla; Bermejo, Pablo Garcia; Zakaria, Ayaman; Amira, Abbes; Bensaali, Faycal... more authors ... less authors ( Springer Verlag , 2019 , Conference)
        Cerebral aneurysms are among most prevalent and devastating cerebrovascular diseases of adult population worldwide. The resulting sequelae of untimely/inadequate therapeutic intervention include sub-arachnoid hemorrhage. ...
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        A Micro-Moment System for Domestic Energy Efficiency Analysis 

        Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Chronis, Christos; Varlamis, Iraklis; Dimitrakopoulos, George... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
        Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process ...
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        A model for predicting room occupancy based on motion sensor data 

        Sardianos, Christos; Varlamis, Iraklis; Chronis, Christos; Dimitrakopoulos, George; Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ...
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        A multi-sensing reconfigurable platform for gas applications 

        Akbar, Muhammad Ali; Ali, Amin Ait Si; Amira, Abbes; Benammar, Mohieddine; Bensaali, Faycal; Mohamad, Saqib; Tang, Fang; Bermak, Amine; Zgaren, Mohamad; Sawan, Mohammad... more authors ... less authors ( IEEE , 2014 , Conference)
        The production of hazardous gases due to different physicochemical reactions in gas industries have raised the need of autonomous sensor tag. However the adaptation of remotely controlled sensor tag is still suffering with ...
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        A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks 

        Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( Springer , 2020 , Article)
        Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...
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        A novel gateway-based solution for remote elderly monitoring 

        Boukhennoufa, Issam; Amira, Abbes; Bensaali, Faycal; Soheilian Esfahani, Sahar ( Elsevier , 2020 , Article)
        Internet of Things (IoT) technologies have been applied to various fields such as manufacturing, automobile industry and healthcare. IoT-based healthcare has a significant impact on real-time remote monitoring of patients' ...
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        A review of human circulatory system simulation: Bridging the gap between engineering and medicine 

        Mahmoud, Abdulrahman; Alsalemi, Abdullah; Bensaali, Faycal; Hssain, Ali A.; Hassan, Ibrahim ( MDPI , 2021 , Article)
        (1) Background: Simulation-based training (SBT) is the practice of using hands-on training to immerse learners in a risk-free and high-fidelity environment. SBT is used in various fields due to its risk-free benefits from ...
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        A Sinusoidal Encoder-to-Digital Converter Based on an Improved Tangent Method 

        Benammar, Mohieddine; Khattab, Asem; Saleh, Sharief; Bensaali, Faycal; Touati, Farid ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
        Sinusoidal encoders are used for the measurement of angular position and linear displacement. These provide electrical signals dependent on the sine and cosine of the position θ of their moving part relative to the stationary ...
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        A skills acquisition study on ECMOjo: a screen-based simulator for extracorporeal membrane oxygenation 

        Alsalemi, Abdullah; Tanaka, Len; Ogino, Mark; Disi, Mohammed Al; Alhomsi, Yahya; Bensaali, Faycal; Amira, Abbes; Alinier, Guillaume... more authors ... less authors ( SAGE Publications Ltd , 2020 , Article)
        Background: Extracorporeal membrane oxygenation relies heavily on didactic teaching, emphasizing on essential cognitive skills, but overlooking core behavioral skills such as leadership and communication. Therefore, ...
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        A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects 

        Himeur, Yassine; Alsalemi, Abdullah; Al-Kababji, Ayman; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; Dimitrakopoulos, George; Varlamis, Iraklis... more authors ... less authors ( Elsevier , 2021 , Article)
        Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of ...
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        A wireless oxygen saturation and heart rate monitoring and alarming system based on the Qatar early warning scoring system 

        Alshorman, Sami; Jaber, Fadi T.; Bensaali, Faycal ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
        Monitoring vital signs and alarming healthcare emergency response units whenever measurements are outside the normal range could be life-saving for high-risk patients who are living alone or sleeping. This paper presents ...
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        A wireless oxygen saturation and heart rate monitoring and alarming system based on the Qatar Early Warning Scoring system 

        Alshorman, Sami Saleh; Bensaali, Faycal; Jaber, Fadi ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Article)
        Background: Peripheral oxygen saturation (SpO2) and heart rate (HR) are important indicators for various medical conditions such as cardiopulmonary disorders and respiratory diseases. The main objectives of this study is ...
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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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        Ambulatory extracorporeal membrane oxygenation simulator: The next frontier in clinical training 

        Sayed, Aya N.; Noorizadeh, Mohammad; Alhomsi, Yahya; Bensaali, Faycal; Meskin, Nader; Ait Hssain, Ali... more authors ... less authors ( SAGE Publications Ltd , 2024 , Article)
        Background: Current medical simulators for extracorporeal membrane oxygenation (ECMO) are expensive and rely on low-fidelity methodologies. This creates a challenge that demands a new approach to eliminate high costs and ...
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        An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System 

        Djelouat, Hamza; Baali, Hamza; Amira, Abbes; Bensaali, Faycal ( Hindawi Limited , 2017 , Article)
        The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
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        An innovative edge-based Internet of Energy solution for promoting energy saving in buildings 

        Alsalemi, Abdullah; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( Elsevier , 2022 , Article)
        Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ...
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        An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals 

        Himeur, Yassine; Alsalemi, Abdullah; Bensaali, Faycal; Amira, Abbes ( John Wiley and Sons Ltd , 2021 , Article)
        Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ...
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        An IoT-based framework for remote fall monitoring 

        Al-Kababji, Ayman; Amira, Abbes; Bensaali, Faycal; Jarouf, Abdulah; Shidqi, Lisan; Djelouat, Hamza... more authors ... less authors ( Elsevier , 2021 , Article)
        Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower elderly's chances of survival, especially if living alone. Hence, the need is there for developing ...
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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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