Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel

Viser treff 233-244 av 244

    • 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 ...

    • The Weighted Kalman Filter 

      Rotondo, Damiano (Peer reviewed; Journal article, 2023)
      This paper proposes a new version of the Kalman filter, referred to as weighted Kalman filter (WKF). In the WKF some recent results on the weighted linearization of nonlinear systems are exploited to incorporate modifications ...

    • An XAI approach for COVID-19 detection using transfer learning with X-ray images 

      Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023-04)
      The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...