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An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
(
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
(
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 ...
achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic electricity in the forthcoming decades. a large amount of research ...
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 ...
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
(
Elsevier
, 2022 , Article Review)
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while improving grid stability and meeting service demand. This is possible by adopting next-generation energy systems, which leverage ...
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
(
Elsevier
, 2023 , Short Survey)
Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ...
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
(
Elsevier
, 2021 , Article Review)
Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could assist end-users, energy producers and utility companies in ...
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
(
Elsevier
, 2021 , Short Survey)
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of ...