Electrical Engineering: Recent submissions
Now showing items 681-700 of 2649
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Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Machine learning and computer vision techniques have influenced many fields including the biomedical one. The aim of this paper is to investigate the important concept of schedulers in manipulating the learning rate (LR), ... -
Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations with a Novel Simulator and Instructor Application
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Simulation plays an important part in enhancing the outcomes of clinical training worldwide. In particular, extracorporeal membrane oxygenation (ECMO) is a life-saving procedure that utilizes a cardiopulmonary bypass circuit ... -
ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing under Real-Time Constraints
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to ... -
Design and implementation of a gas identification system on Zynq SoC platform
( Asian Research Publishing Network , 2015 , Article)The Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM ... -
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 model for predicting room occupancy based on motion sensor data
( 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 ... -
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 ... -
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ... -
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 ... -
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
( Elsevier , 2022 , Article)Despite the variety of sensors that can be used in a smart home or office setup, for monitoring energy consumption and assisting users to save energy, their usefulness is limited when they are not properly integrated into ... -
Impact of feature reduction and operating temperature on gas identification
( Asian Research Publishing Network , 2015 , Article)Tin-oxide based gas sensor requires an operating temperature typically in the range of 200 °C to 400 °C and its performance dependents on this temperature. In this paper a deep examination has been made to analyze the best ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ... -
Editorial for FGCS special issue: Intelligent IoT systems for healthcare and rehabilitation
( Elsevier , 2021 , Article)The emerging field of flexible bio-mechatronic technologies, such as wearable sensors, actuators and robots, are playing more and more crucial roles in the design and development of next generation healthcare and rehabilitation ... -
Revolutionizing ECMO simulation with affordable yet high-Fidelity technology
( Elsevier , 2018 , Article)Simulation-based training (SBT) is becoming a necessity in educating healthcare professionals who work in high-risk environments, such as the intensive care unit (ICU) [1]. This applies to extracorporeal membrane oxygenation ... -
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 ... -
Building power consumption datasets: Survey, taxonomy and future directions
( Elsevier , 2020 , Article Review)In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ... -
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
( 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 ... -
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 ... -
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
( 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 ...
