Vitenskapelige publikasjoner (TN-IDE): Recent submissions
Now showing items 61-80 of 251
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Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network
(Peer reviewed; Journal article, 2023)Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ... -
Towards Posture and Gait Evaluation through Wearable-Based Biofeedback Technologies
(Peer reviewed; Journal article, 2023)In medicine and sport science, postural evaluation is an essential part of gait and posture correction. There are various instruments for quantifying the postural system’s efficiency and determining postural stability which ... -
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
(Peer reviewed; Journal article, 2023)Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural ... -
CrossTransUnet: A new computationally inexpensive tumor segmentation model for brain MRI
(Peer reviewed; Journal article, 2023)Brain tumors are usually fatal diseases with low life expectancies due to the organs they affect, even if the tumors are benign. Diagnosis and treatment of these tumors are challenging tasks, even for experienced physicians ... -
A Privacy-Preserving and Transparent Certification System for Digital Credentials
(Peer reviewed; Journal article, 2023)A certification system is responsible for issuing digital credentials, which attest claims about a subject, e.g., an academic diploma. Such credentials are valuable for individuals and society, and widespread adoption ... -
AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces
(Peer reviewed; Journal article, 2022)In recent decades, the world has witnessed cloud computing as an essential technology that changes the traditional application Development and Operation (DevOps) lifecycle. However, current cloud software DevOps and Service ... -
Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021
(Journal article, 2022)The term personal knowledge graph (PKG) has been broadly used to refer to structured representation of information about a given user, primarily in the form of entities that are personally related to the user. The potential ... -
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 ...