Search Results - "Alsalemi, Abdullah"
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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
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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Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
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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Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
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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Novel domestic building energy consumption dataset: 1D timeseries and 2D Gramian Angular Fields representation
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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A modular recommender system for domestic energy efficiency
Published in Environmental challenges (Amsterdam, Netherlands) (01-12-2023)“…Recommender systems continually impact multiple verticals by introducing automated intelligence to decision making. When applying such Artificial Intelligence…”
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A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation
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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Extracorporeal membrane oxygenation simulation-based training: methods, drawbacks and a novel solution
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 -
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Using thermochromism to simulate blood oxygenation in extracorporeal membrane oxygenation
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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A Modular Approach for a Patient Unit for Extracorporeal Membrane Oxygenation Simulator
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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A Review of Human Circulatory System Simulation: Bridging the Gap between Engineering and Medicine
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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Corrections to "A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation"
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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Addressing the challenges of ECMO simulation
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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Advanced Thermochromic Ink System for Medical Blood Simulation
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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Enhancing Clinical Learning Through an Innovative Instructor Application for ECMO Patient Simulators
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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Towards the design and implementation of a human circulatory system for Extracorporeal Membrane Oxygenation simulation
Published in Egyptian Journal of Critical Care Medicine (01-12-2018)“…Extracorporeal Membrane Oxygenation (ECMO) is a lifesaving procedure developed for the care of patients with short-term respiratory and/or cardiac issues…”
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Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
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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Building power consumption datasets: Survey, taxonomy and future directions
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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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
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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Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors
Published in International journal of intelligent systems (01-06-2021)“…Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and…”
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A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
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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