Blar i Department of Electrical and Computer Engineering (TN-IDE) på dokumenttype "Journal article"
Viser treff 101-120 av 200
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In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism
(Peer reviewed; Journal article, 2022)Magnetic resonance spectroscopy (MRS) is a non-invasive and non-ionizing technique, enabling in vivo investigation of cardiac metabolism in normal and diseased hearts. In vivo measurement tools are critical for studying ... -
Integrating big data and blockchain to manage energy smart grid - TOTEM framework
(Peer reviewed; Journal article, 2022)The demand for electricity is increasing exponentially day by day, especially with the arrival of electric vehicles. In the smart community neighborhood project, electricity should be produced at the household or community ... -
Intelligent Colored Token Petri Nets for Modeling, Control, and Validation of Dynamic Changes in Reconfigurable Manufacturing Systems
(Peer reviewed; Journal article, 2020)The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures ... -
Interval Type 2 Fuzzy Adaptive Motion Drive Algorithm Design
(Peer reviewed; Journal article, 2023-07)Motion drive algorithms are a set of filters designed to simulate realistic motion and are an integral part of contemporary vehicle simulators. This paper presents the design of a novel intelligent interval type 2 fuzzy ... -
Introducing a New Toolbox for Theory of Connection
(Peer reviewed; Journal article, 2020)These days, graphs and graph theory is being used for modelling, simulation, and performance analysis of many physical systems, as physical systems are becoming more and more connected. However, ca. 75 years ago, Gabriel ... -
Investigation of the Effect of Fracturing Fluids on Shale Pore Structure by Nuclear Magnetic Resonance
(Peer reviewed; Journal article, 2023)Hydraulic fracturing technology significantly enhances the productivity of shale oil and gas reservoirs. Nonetheless, the infiltration of fracturing fluid into shale formations can detrimentally affect the microscopic pore ... -
Java Bluetooth wireless technology for evaluating student performance in classroom
(Journal article; Peer reviewed, 2005)This paper focuses on the use of Java Bluetooth wireless technology for evaluation of student performance in classroom. First, an introduction to Bluetooth wireless technology is given. Second, use of Java technology for ... -
Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems
(Peer reviewed; Journal article, 2024)Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, ... -
Kernel recursive least squares dictionary learning algorithm
(Peer reviewed; Journal article, 2023)An online dictionary learning algorithm for kernel sparse representation is developed in the current paper. In this framework, the input signal nonlinearly mapped into the feature space is sparsely represented based on a ... -
Learning Parameterized ODEs From Data
(Peer reviewed; Journal article, 2023)In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since ... -
LMI-based design of state-feedback controllers for pole clustering of LPV systems in a union of DR-regions
(Peer reviewed; Journal article, 2021)This paper introduces an approach for the design of a state-feedback controller that achieves pole clustering in a union of DR-regions for linear parameter varying systems. The design conditions, obtained using a partial ... -
A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications
(Peer reviewed; Journal article, 2023)Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
(Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
(Journal article; Peer reviewed, 2016-07)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ... -
Methods for preprocessing time and distance series data from personal monitoring devices
(Peer reviewed; Journal article, 2020-06)There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring ... -
Metric based virtual simulation training for endovascular thrombectomy improves interventional neuroradiologists’ simulator performance
(Peer reviewed; Journal article, 2022)Objective Metric based virtual reality simulation training may enhance the capability of interventional neuroradiologists (INR) to perform endovascular thrombectomy. As pilot for a national simulation study we examined ... -
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
(Journal article; Peer reviewed, 2019-05)Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ... -
Modeling of Swab and Surge Pressures: A Survey
(Peer reviewed; Journal article, 2022-03)Swab and surge pressure fluctuations are decisive during drilling for oil. The axial movement of the pipe in the wellbore causes pressure fluctuations in wellbore fluid; these pressure fluctuations can be either positive ... -
Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System
(Peer reviewed; Journal article, 2023-06)Nowadays, Visible Light Communication (VLC) has gained much attention due to the significant advancements in Light Emitting Diode (LED) technology. However, the bandwidth of LEDs is one of the important concerns that limits ...