Browsing Vitenskapelige publikasjoner (TN-IDE) by Title
Now showing items 127-146 of 247
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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 ... -
Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection
(CEUR Workshop Proceedings;, Chapter, 2023)Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ... -
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 ... -
MigraMEC: Hybrid Testbed for MEC App Migration
(Chapter, 2023)Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC ... -
Minimizing the Cost of 5G Network Slice Broker
(Chapter, 2021)Network slicing is a key enabler of the fifth-generation (5G) of mobile networks. It allows creating multiple logical networks, i.e. network slices, with heterogeneous requirements over a common underlying infrastructure. ... -
Mitigating non-linear DAC glitches using dither in closed-loop nano-positioning applications
(American Control COnference (ACC);, Chapter, 2023)Digital-to-analog conversion is essential in digital signal processing applications, including closed-loop control schemes. Noise and distortion in digital-to-analog converters result in reduced performance for high-precision ... -
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 ... -
A model for greener power generation for north-east Sri Lanka based on stand-alone renewable energy systems
(Chapter; Peer reviewed, 2009) -
Modeling and Evaluating NFV-Enabled Network Services under Different Availability Modes
(Chapter, 2019)Network and Telecom operators are continuously embracing the adoption of Network Function Virtualization (NFV) as a means to provide more agile, flexible and cost-efficient services. Many telecommunication services need ... -
Modeling and identification of the Quanser Aero using a detailed description of friction and centripetal forces
(Chapter, 2023)This paper deals with the modeling and identification of the Quanser Aero. The Quanser Aero is an aerospace laboratory setup designed for teaching aerospace concepts. Two propellers generate thrust and allow the user to ... -
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 ... -
Modelling ethical decisions
(Chapter; Peer reviewed, 2010)