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Now showing items 11-20 of 47
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
(
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 ...
A skills acquisition study on ECMOjo: a screen-based simulator for extracorporeal membrane oxygenation
(
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, ...
Using big data and federated learning for generating energy efficiency recommendations
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home ...
Cloud energy micro-moment data classification: A platform study
(
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, ...
Revolutionizing ECMO simulation with affordable yet high-Fidelity technology
(
Elsevier
, 2018 , Other)
[No abstract available]
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 ...
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
(
Springer
, 2021 , Conference Paper)
In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work ...
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Accrediting the fast economic growth and the enhancement of people's live standards, the overall household's energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a ...
Intelligent Edge-Based Recommender System for Internet of Energy Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing ...
Boosting domestic energy efficiency through accurate consumption data collection
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ...