• Structures for stepwise development of adaptive supply chain 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2006-12)
      Falling margins, globalization, and accelerating innova-tion cycles are forcing businesses to switch from traditional (linear and sequential) supply chains to adaptive supply chains that possess the flexibility needed ...
    • Survey of Key Management in Ad Hoc Networks 

      Hegland, Anne Marie; Winjum, Eli; Mjølsnes, Stig Frode; Rong, Chunming; Kure, Øivind; Spilling, Pål (Peer reviewed; Journal article, 2006)
      The wireless and dynamic nature of mobile ad hoc networks (MANETs) leaves them more vulnerable to security attacks than their wired counterparts. The nodes act both as routers and as communication end points. This makes ...
    • A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation 

      Arief, Hasan Asyari; Wiktorski, Tomasz; Thomas, Peter (Peer reviewed; Journal article, 2021)
      Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the potential to play a major role in industrial flow measurement applications. One such application is the optimization of hydrocarbon ...
    • A Survey on Infrastructure-as-Code Solutions for Cloud Development 

      Teppan, Håkon; Flå, Lars; Jaatun, Martin Gilje (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 ...
    • A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval 

      Bernard, Nolwenn; Balog, Krisztian (Peer reviewed; Journal article, 2023)
      We live in an information society that strongly relies on information retrieval systems, such as search engines and conversational assistants. Consequently, the trustworthiness of these systems is of critical importance, ...
    • Tackling the Cloud Forensic Problem while Keeping your Eye on the GDPR 

      Westerlund, Magnus; Jaatun, Martin Gilje (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 

      Balog, Krisztian (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 

      Skretting, Karl; Husøy, John Håkon (Conference object, 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 

      Frøysa, Vidar; Berg, Gøran Jansson; Eftestøl, Trygve Christian; Woie, Leik; Ørn, Stein (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 

      Holik, Filip; Flå, Lars; Jaatun, Martin Gilje; Yildirim Yayilgan, Sule; Foros, Jørn (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 

      Rotondo, Damiano; Luta, Gent; Aarvåg, John Håvard Ulfsnes (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 

      Davidrajuh, Reggie; Joseph, Joel Fabiean (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 

      Davidrajuh, Reggie; Jensen, Øystein (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 

      Cesari, Paola; Cristani, Matteo; Demrozi, Florenc; Pascucci, Francesco; Picotti, Pietro Maria; Pravadelli, Graziano; Tomazzoli, Claudio; Turetta, Cristian; Workneh, Tewabe Chekole; Zenti, Luca (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 

      Unal, Devrim; Catak, Ferhat Özgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad (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 

      Garcia-Torres Fernandez, Jorge; Meinich-Bache, Øyvind; Sara, Brunner; Johannessen, Anders; Rettedal, Siren; Engan, Kjersti (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 

      Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (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 

      Ahmad, Tasweer; Rizvi, Syed Tahir Hussain; Kanwal, Neel (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 

      Farmanbar, Mina; Chunming, Rong (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 

      Opdahl, Andreas Lothe; Tessem, Bjørnar; Dang Nguyen, Duc Tien; Motta, Enrico; Setty, Vinay; Throndsen, Eivind; Tverberg, Are; Trattner, Christoph (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 ...