• 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 ...
    • Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty 

      Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner (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 

      Catak, Ferhat Özgur; Yue, Tao; Ali, Shaukat (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 

      Behzad, Behfar; Farzad, Maryam; Davidrajuh, Reggie (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 

      Haraldsen, Eirik Solland; Østrådt, Karl Meisland; Davidrajuh, Reggie (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 

      KC, Ashish; Kong, So Yeon Joyce; Basnet, Omkar; Haaland, Solveig Haukås; Bhattarai, Pratiksha; Gomo, Øystein; Gurung, Rejina; Ahlsson, Fredrik; Meinich-Bache, Øyvind; Axelin, Anna; Malla, Honey; Basula, Yuba Nidhi; Pathak, Om Krishna; Pokharel, Sunil Mani; Subedi, Hira; Myklebust, Helge (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, ...
    • Virtual Actuator and Sensor Fault Tolerant Consensus for Homogeneous Linear Multi-Agent Systems 

      Rotondo, Damiano; Theilliol, Didier; Ponsart, Jean-Christophe (Peer reviewed; Journal article, 2023)
      This paper presents a fault tolerant consensus protocol for homogeneous linear multi-agent systems using virtual actuators and virtual sensors. By means of the virtual actuators/sensors, the faulty system is reconfigured ...
    • Virtual Sensors and Actuators 

      Rotondo, Damiano; Puig, Vicenç (Chapter, 2021)
      This chapter introduces the design of virtual sensors and actuators using the classical eigenvalue assignment approach, widely used for the design of controllers and observers in state-space. It presents a linear matrix ...
    • Vision transformers for small histological datasets learned through knowledge distillation 

      Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)
      Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...
    • Visualization of generic utility of sequential patterns 

      Wiktorski, Tomasz; Królak, Aleksandra; Rosińska, Karolina; Strumillo, Pawel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020-05)
      Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern mining (FPM) it is assumed that all patterns take the same value. ...
    • A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf 

      Farmanbar, Mina; Palanisamy, Anandhakumar; Høydal, Anne Britt; Keprate, Arvind; Haug, Gjermund (Peer reviewed; Journal article, 2019)
      Vessel activities such as trawling and anchoring potentially affect pipeline integrity. Therefore, the detailed information about the trawl activity in the area is essential for accurate assessment of pipeline, where to ...