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Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device
(
Elsevier Ltd
, 2017 , Article)
There is a significant high fall risk population, where individuals are susceptible to frequent falls and obtaining significant injury, where quick medical response and fall information are critical to providing efficient ...
An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the computational complexity, especially if the ...
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors
(
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
(
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 ...
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
(
Elsevier
, 2022 , Article)
Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ...
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 ...
Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and ...
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, ...