Browsing Vitenskapelige publikasjoner (TN-IDE) by Title
Now showing items 134-153 of 245
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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) -
Modelling Melanin Biosynthesis Pathway with Petri Nets
(Peer reviewed; Journal article, 2021)Melanin is a UV radiation-absorbing pigment that is responsible for variation in skin color. The melanin synthesis pathway is a series of chemical reactions that lead to the formation of melanin. By creating a mathematical ... -
MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies
(Peer reviewed; Journal article, 2023)Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. We used data-driven analysis of magnetic resonance imaging (MRI) ... -
A Multi-Agent Reinforcement Learning Architecture for Network Slicing Orchestration
(Chapter, 2021)The Network Slicing (NS) paradigm is one of the pillars of the future 5G networks and is gathering great attention from both industry and scientific communities. In a NS scenario, physical and virtual resources are partitioned ... -
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
(Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
Multimodal biosignal analysis algorithm for the classification of cardiac rhythms during resuscitation
(Peer reviewed; Journal article, 2020)Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating ... -
Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking
(Peer reviewed; Journal article, 2020)Dynamic Adaptive Streaming over HTTP (DASH) offers adaptive and dynamic multimedia streaming solutions to heterogeneous end systems. However, it still faces many challenges in determining an appropriate rate adaptation ... -
A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides
(Peer reviewed; Journal article, 2020)In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological ... -
Network-Aware Availability Modeling of an End-to-End NFV-Enabled Service
(Peer reviewed; Journal article, 2019)Network Function Virtualization (NFV) represents a key shift in nowadays network service provisioning by entailing higher flexibility, elasticity, and programmability of network services. Dependability is one of the main ... -
A New Modular Petri Net for Modeling Large Discrete-Event Systems: A Proposal Based on the Literature Study
(Peer reviewed; Journal article, 2019)Petri net is a highly useful tool for modeling of discrete-event systems. However, Petri net models of real-life systems are enormous, and their state-spaces are usually of infinite size. Thus, performing analysis on the ...