Search Results - "Alsalemi, Abdullah"

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  1. 1

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Himeur, Yassine, Ghanem, Khalida, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    Published in Applied energy (01-04-2021)
    “…Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could…”
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    Journal Article
  2. 2

    Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective by Alsalemi, Abdullah, Himeur, Yassine, Bensaali, Faycal, Amira, Abbes

    Published in IEEE sensors journal (15-12-2021)
    “…Internet of Energy (IoE) is revolutionizing the building energy industry by introducing numerous innovations that help in data collection, interpretation, and…”
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    Journal Article
  3. 3

    Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations by Alsalemi, Abdullah, Himeur, Yassine, Bensaali, Fayal, Amira, Abbes, Sardianos, Christos, Varlamis, Iraklis, Dimitrakopoulos, George

    Published in IEEE access (2020)
    “…Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic…”
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    Journal Article
  4. 4

    Novel domestic building energy consumption dataset: 1D timeseries and 2D Gramian Angular Fields representation by Alsalemi, Abdullah, Amira, Abbes, Malekmohamadi, Hossein, Diao, Kegong

    Published in Data in brief (01-04-2023)
    “…This data article describes a dataset collected in 2022 in a domestic household in the UK. The data provides appliance-level power consumption data and ambient…”
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    Journal Article
  5. 5

    A modular recommender system for domestic energy efficiency by Alsalemi, Abdullah, Amira, Abbes, Malekmohamadi, Hossein, Diao, Kegong

    “…Recommender systems continually impact multiple verticals by introducing automated intelligence to decision making. When applying such Artificial Intelligence…”
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    Journal Article
  6. 6

    A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation by Alsalemi, Abdullah, Alhomsi, Yahya, Bensaali, Faycal, Hssain, Ali Ait

    Published in IEEE access (2021)
    “…Medical simulators, employed in extracorporeal membrane oxygenation (ECMO), are burdened with costly equipment and low-fidelity methodologies. This dichotomy…”
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    Journal Article
  7. 7

    Extracorporeal membrane oxygenation simulation-based training: methods, drawbacks and a novel solution by Al Disi, Mohammed, Alsalemi, Abdullah, Alhomsi, Yahya, Bensaali, Fayçal, Amira, Abbes, Alinier, Guillaume

    Published in Perfusion (01-04-2019)
    “…Introduction: Patients under the error-prone and complication-burdened extracorporeal membrane oxygenation (ECMO) are looked after by a highly trained,…”
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    Book Review Journal Article
  8. 8

    Using thermochromism to simulate blood oxygenation in extracorporeal membrane oxygenation by Al Disi, Mohammed, Alsalemi, Abdullah, Alhomsi, Yahya, Bensaali, Fayçal, Amira, Abbes, Alinier, Guillaume

    Published in Perfusion (01-03-2019)
    “…Introduction: Extracorporeal membrane oxygenation (ECMO) training programs employ real ECMO components, causing them to be extremely expensive while offering…”
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    Journal Article
  9. 9

    A Modular Approach for a Patient Unit for Extracorporeal Membrane Oxygenation Simulator by Alhomsi, Yahya, Alsalemi, Abdullah, Noorizadeh, Mohammad, Bensaali, Faycal, Meskin, Nader, Hssain, Ali Ait

    Published in Membranes (Basel) (31-05-2021)
    “…Despite many advancements in extracorporeal membrane oxygenation (ECMO), the procedure is still correlated with a high risk of patient complications…”
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    Journal Article
  10. 10

    A Review of Human Circulatory System Simulation: Bridging the Gap between Engineering and Medicine by Mahmoud, Abdulrahman, Alsalemi, Abdullah, Bensaali, Faycal, Hssain, Ali Ait, Hassan, Ibrahim

    Published in Membranes (Basel) (28-09-2021)
    “…(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…”
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    Journal Article
  11. 11

    Corrections to "A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation" by Alsalemi, Abdullah, Alhomsi, Yahya, Bensaali, Faycal, Alinier, Guillaume, Hssain, Ali Ait

    Published in IEEE access (2022)
    “…In the above article <xref ref-type="bibr" rid="ref1">[1] , the fifth author, Guillaume Alinier, was missing. The author byline should have five authors:…”
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    Journal Article
  12. 12

    Addressing the challenges of ECMO simulation by Alinier, Guillaume, Hassan, Ibrahim Fawzy, Alsalemi, Abdullah, Al Disi, Mohammed, Ait Hssain, Ali, Labib, Ahmed, Alhomsi, Yahya, Bensaali, Fayçal, Amira, Abbes, Ibrahim, Abdulsalam Saif

    Published in Perfusion (01-10-2018)
    “…Introduction/Aim: The patient’s condition and high-risk nature of extracorporeal membrane oxygenation (ECMO) therapy force clinical services to ensure…”
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    Journal Article
  13. 13

    Advanced Thermochromic Ink System for Medical Blood Simulation by Noorizadeh, Mohammad, Alsalemi, Abdullah, Alhomsi, Yahya, Sayed, Aya Nabil Khalaf Mohamed, Bensaali, Faycal, Meskin, Nader, Hssain, Ali Ait

    Published in Membranes (Basel) (11-07-2021)
    “…Simulators for extracorporeal membrane oxygenation (ECMO) have problems of bulky devices and low-fidelity methodologies. Hence, ongoing efforts for optimizing…”
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    Journal Article
  14. 14

    Enhancing Clinical Learning Through an Innovative Instructor Application for ECMO Patient Simulators by Alsalemi, Abdullah, Disi, Mohammed Al, Alhomsi, Yahya, Bensaali, Fayçal, Amira, Abbes, Alinier, Guillaume

    Published in Simulation & gaming (01-10-2018)
    “…Background. Simulation-based learning (SBL) employs the synergy between technology and people to immerse learners in highly-realistic situations in order to…”
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    Journal Article
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  16. 16

    Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    Published in Applied energy (01-06-2020)
    “…•An event-based non-intrusive appliance recognition.•A multi-scale wavelet packet tree descriptor for feature extraction.•Appliance classification using…”
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    Journal Article
  17. 17

    Building power consumption datasets: Survey, taxonomy and future directions by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    Published in Energy and buildings (15-11-2020)
    “…•Review of building power consumption datasets.•Data collection platforms.•Power consumption anomaly detection dataset.•Improving datasets collection and…”
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    Journal Article
  18. 18

    Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    Published in Applied energy (01-12-2020)
    “…Recently, a growing interest has been dedicated towards developing and implementing low-cost energy efficiency solutions in buildings. Accordingly,…”
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    Journal Article
  19. 19

    Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    “…Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and…”
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    Journal Article
  20. 20

    A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks by Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

    Published in Cognitive computation (01-11-2020)
    “…Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to…”
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    Journal Article