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Towards next generation cannulation simulators
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Hamad bin Khalifa University Press (HBKU Press)
, 2020 , Article)
Background: Cannulation, in extracorporeal membrane oxygenation (ECMO), is the act of inserting a cannula through the body1. For femoral veins, femoral arteries, and the jugular vein, the cannula stops at the inferior vena ...
A skills acquisition study on ECMOjo: a screen-based simulator for extracorporeal membrane oxygenation
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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, ...
Cloud energy micro-moment data classification: A platform study
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Energy efficiency is a crucial factor in the wellbeing of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient workflows for enhancing behavior. So, ...
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
(
Elsevier
, 2020 , Article)
Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ...
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
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 ...
Efficient multi-descriptor fusion for non-intrusive appliance recognition
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
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 ...
Real-time personalised energy saving recommendations
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The increased consumption of energy worldwide has boosted the interest of people for energy-efficient solutions at every level of daily life, from goods production and transportation to the use of household and office ...
A model for predicting room occupancy based on motion sensor data
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
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 ...
REHAB-C: Recommendations for Energy HABits Change
(
Elsevier
, 2020 , Article)
This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects information about user actions ...
Smart energy usage and visualization based on micro-moments
(
Springer Verlag
, 2020 , Conference Paper)
Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ...