Vitenskapelige publikasjoner (TN-IDE): Recent submissions
Now showing items 61-80 of 245
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Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference
(Journal article, 2022)The 44th European Conference on Information Retrieval (ECIR’22) was held in Stavanger, Norway. It represents a landmark, not only for being the northernmost ECIR ever, but also for being the first major IR conference in a ... -
Towards a Taylor-Carleman bilinearization approach for the design of nonlinear state-feedback controllers
(Peer reviewed; Journal article, 2022)The Carleman bilinearization is an approach that performs an exact conversion of a finite-dimensional nonlinear system into an infinite-dimensional bilinear system. A finite-dimensional system is later obtained through a ... -
Design of shifting output-feedback controllers for LPV systems subject to time-varying saturations
(Peer reviewed; Journal article, 2022)This paper considers the problem of designing a shifting output-feedback controller for polytopic linear parameter-varying (LPV) systems subject to time-varying saturations. By means of the LPV framework and the use of the ... -
An improved delay and state observer for SISO LTI systems withknown delay lower bound
(Peer reviewed; Journal article, 2022)It is known that the presence of delays hinders the performance achievable by a feedback control system, and it can even lead to closed-loop instability if not considered during the design. For this reason, predictors are ... -
Towards robust autonomous driving systems through adversarial test set generation
(Peer reviewed; Journal article, 2022)Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ... -
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
(Peer reviewed; Journal article, 2022)Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ... -
Pulseless electrical activity in in-hospital cardiac arrest – A crossroad for decisions
(Peer reviewed; Journal article, 2022)Background PEA is often seen during resuscitation, either as the presenting clinical state in cardiac arrest or as a secondary rhythm following transient return of spontaneous circulation (ROSC), ventricular fibrillatio ... -
Green communication approach for the smart city using renewable energy systems
(Peer reviewed; Journal article, 2022)A smart city is an evolving Internet of Things (IoT) technique that links different digital gadgets via a network, offering several new services to the manufacturing and medical field to commerce. A smart city is an ... -
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
(Peer reviewed; Journal article, 2022)Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ... -
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 ... -
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 ... -
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 ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
(Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
A Survey on Infrastructure-as-Code Solutions for Cloud Development
(Chapter, 2022)Cloud software is increasingly written according to the DevOps paradigm, where use of virtualization and Infrastructure-as-Code is prevalent. This paper surveys the state of the art of IaC cloud development, and proposes ... -
Automating Security in a Continuous Integration Pipeline
(Chapter, 2022)Traditional approaches to software security are based on manual methods, which tend to stall development, leading to inefficiency. To speed up a software development lifecycle, security needs to be integrated and automated ... -
Uncertainty-Aware Prediction Validator in Deep Learning Models for Cyber-Physical System Data
(Peer reviewed; Journal article, 2022)The use of Deep learning in Cyber-Physical Systems (CPSs) is gaining popularity due to its ability to bring intelligence to CPS behaviors. However, both CPSs and deep learning have inherent uncertainty. Such uncertainty, ... -
A Simplified Normalized Subband Adaptive Filter (NSAF) with NLMS-like complexity
(Chapter, 2022)The Normalized Subband Adaptive Filter (NSAF) is a popular algorithm exhibiting moderate computational complexity and enhanced convergence speed relative to the ubiquitous Normalized Least Mean Square (NLMS) algorithm. ... -
Parsing heterogeneity within dementia with Lewy bodies using clustering of biological, clinical, and demographic data
(Peer reviewed; Journal article, 2022)Background Dementia with Lewy bodies (DLB) includes various core clinical features that result in different phenotypes. In addition, Alzheimer’s disease (AD) and cerebrovascular pathologies are common in DLB. All this ... -
Threat Modeling of a Smart Grid Secondary Substation
(Peer reviewed; Journal article, 2022)A full smart grid implementation requires the digitization of all parts of the smart grid infrastructure, including secondary electrical substations. Unfortunately, this introduces new security threats, which were not ... -
NewbornTime - improved newborn care based on video and artificial intelligence - study protocol
(Journal article, 2023)Background Approximately 3-8% of all newborns do not breathe spontaneously at birth, and require time critical resuscitation. Resuscitation guidelines are mostly based on best practice, and more research on newborn ...