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Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors
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John Wiley and Sons Ltd
, 2021 , Article)
Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and reducing carbon emissions. Therefore, implementing powerful techniques ...
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
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John Wiley and Sons Ltd
, 2021 , Article)
The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to human expectations, but also created the ...
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Energy (IoE) is revolutionizing the building energy industry by introducing numerous innovations that help in data collection, interpretation, and behavioural improvement. Consequently, collecting and analyzing ...
Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations with a Novel Simulator and Instructor Application
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Simulation plays an important part in enhancing the outcomes of clinical training worldwide. In particular, extracorporeal membrane oxygenation (ECMO) is a life-saving procedure that utilizes a cardiopulmonary bypass circuit ...
A Micro-Moment System for Domestic Energy Efficiency Analysis
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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 ...
An IoT-based framework for remote fall monitoring
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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 ...
Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study
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SAGE Publications Ltd
, 2021 , Article)
Internet of Medical Things (IoMT) systems are envisioned to provide high-quality healthcare services to patients in the comfort of their home, utilizing cutting-edge Internet of Things (IoT) technologies and medical sensors. ...
A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation
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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 ...
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
(
Elsevier
, 2021 , Article)
Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power consumption and contributing to several challenges encountered when transiting to an efficient, sustainable, and competitive ...
A review of human circulatory system simulation: Bridging the gap between engineering and medicine
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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 ...