Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel
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Tackling the Cloud Forensic Problem while Keeping your Eye on the GDPR
(Chapter, 2019)If the cloud is just someone else's computer, securing forensic evidence in case of a breach can be tricky. A blockchain-based distributed ledger could contribute to solve this problem, provided the required forensic ... -
Task-completion Engines: A Vision with a Plan
(Journal article, 2015)This paper presents a vision and a plan for task-completion engines that support humans in solving complex, knowledge-intensive tasks, by providing an integrated environment that caters for all taskrelated activities. We ... -
Texture classification using sparse frame based representations
(Journal article, 2008)In this paper a new method for texture classification, denoted Frame Texture Classification Method (FTCM), is presented. The main idea is that a frame trained to make a sparse representation of a certain class of signals ... -
Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images
(Peer reviewed; Journal article, 2021-12)Purpose To evaluate a novel texture-based probability mapping (TPM) method for scar size estimation in LGE-CMRI. Methods This retrospective proof-of-concept study included chronic myocardial scars from 52 patients. ... -
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 ... -
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 ... -
Towards Modeling Road Tunnels: A Petri Nets based Approach
(Peer reviewed; Journal article, 2022)This paper aims to develop a mathematical model using Petri nets to simulate the traffic flow inside the road tunnel. First, a new modular Petri net theory is used; the modeling approach shown in this paper for modeling a ... -
Towards modeling the economies of personal relationships in dyadic business exchanges
(Journal article; Peer reviewed, 2007)This paper proposes modeling the economies of personal relationship so that its impact on the collective economic outcome in dyadic business exchanges can be measured. Firstly, this paper introduces personal relationship ... -
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 ... -
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 ... -
Towards using Thermal Cameras in Birth Detection
(Chapter, 2022)In recent years, thermal imaging has been used in numerous applications due to its ability to capture and visualize the thermal radiation emitted by objects. Thermal cameras can be employed as non-invasive systems for ... -
Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks
(Peer reviewed; Journal article, 2020)Machine Learning adoption within drilling is often impaired by the necessity to train the model on data collected from wells analogous in lithology and equipment used to the well where the model is meant to be deployed. ... -
Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition
(Peer reviewed; Journal article, 2023-09)Over the past few years, skeleton-based action recognition has attracted great success because the skeleton data is immune to illumination variation, view-point variation, background clutter, scaling, and camera motion. ... -
Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance
(Peer reviewed; Journal article, 2020-02)Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart ... -
Trustworthy journalism through AI
(Peer reviewed; Journal article, 2023-07)Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information to the public and help to address and counterbalance the wide and rapid ... -
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 ... -
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, ... -
Understanding the IKEA Warehouse Processes and Modeling using Modular Petri Nets
(Peer reviewed; Journal article, 2020)Nowadays, large warehouses handle a huge number of products. Handling the enormity and different types of (range) products also demand complex warehouse processes. In this paper, the IKEA warehouse in Stavanger, Norway, ... -
Understanding the Importance of Efficient Visitor Flow within Tokyo Skytree
(Peer reviewed; Journal article, 2021)Tokyo Skytree is the tallest freestanding tower in the world. The tower is a popular tourist attraction with two observational decks at an altitude of 350 and 450 meters. This paper aims to understand the importance of the ... -
Usability, acceptability and feasibility of a novel technology with visual guidance with video and audio recording during newborn resuscitation: a pilot study
(Peer reviewed; Journal article, 2022)Objective Inadequate adherence to resuscitation for noncrying infants will have poor outcome and thus rationalise a need for real-time guidance and quality improvement technology. This study assessed the usability, ...