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Now showing items 31-40 of 46
Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Cerebral aneurysm is a cerebrovascular disorder caused by a weakness in the wall of an artery or vein, which causes a localized dilation or ballooning of the blood vessel. It is life-threatening; hence, an early and accurate ...
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
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Hindawi Limited
, 2017 , Article)
The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
Novel Approach to Non-Invasive Blood Glucose Monitoring Based on Transmittance and Refraction of Visible Laser Light
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Current blood glucose monitoring (BGM) techniques are invasive as they require a finger prick blood sample, a repetitively painful process that creates the risk of infection. BGM is essential to avoid complications arising ...
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 ...
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
(
Springer Nature
, 2022 , Article)
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ...
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
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Elsevier
, 2022 , Article)
Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ...
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
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Elsevier
, 2020 , Article)
Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low cost ...
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 Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
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Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...