Now showing items 299-318 of 934

    • The euBusinessGraph Ontology: a Lightweight Ontology for Harmonizing Basic Company Information 

      Roman, Dumitru; Alexiev, Vladimir; Paniagua, Javier; Elvesæter, Brian; Zernichow, Bjørn Marius von; Soylu, Ahmet; Simeonov, Boyan; Taggart, Chris (Semantic Web Journal;Vol. 13, no. 1, Peer reviewed; Journal article, 2022-11-25)
      Company data, ranging from basic company information such as company name(s) and incorporation date to complex balance sheets and personal data about directors and shareholders, are the foundation that many data value ...
    • Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations 

      Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis (RACS: Research in Applied Computation Symposium; RACS '20: International Conference on Research in Adaptive and Convergent Systems, Chapter; Peer reviewed; Conference proceeding, 2020-10)
      Machine-learning based Intrusion Detection and Prevention Systems provide significant value to organizations because they can efficiently detect previously unseen variations of known threats, new threats related to known ...
    • Evaluating Accessibility and Usability of an Experimental Situational Awareness Room 

      Gjøsæter, Terje; Radianti, Jaziar (Advances in Intelligent Systems and Computing;Vol 776, Chapter; Peer reviewed, 2018-06-24)
      New advanced emergency management facilities such as a control room which is equipped with advanced ICT technologies should consider universal design principles and ensure the accessibility and usability of some important ...
    • Evaluating probabilistic software development effort estimates: Maximizing informativeness subject to calibration 

      Jørgensen, Magne (Information and Software Technology;Volume 115, November 2019, Journal article; Peer reviewed, 2019-08-08)
      Context: Probabilistic effort estimates inform about the uncertainty and may give useful input to plans, budgets and investment analyses. Objective & method: This paper introduces, motivates and illustrates two principles ...
    • Evaluation of orthosis rapid prototyping during the design process: Analysis of verification models 

      Ferrari, Ana Lya Moya; Piculo dos Santos, Aline Darc; Bertolaccini, Guilherme da Silva; Medola, Fausto Orsi; Sandnes, Frode Eika (Advances in Intelligent Systems and Computing;975, Chapter; Peer reviewed, 2020)
      hysical prototypes allow the testing of ideas quickly with models that look similar to the final product. Rapid Prototyping (RP) based on additive or subtractive technologies allow trial usability tests to avoid errors and ...
    • Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (Communications in Computational Physics;Volume 27, Issue 4, Journal article; Peer reviewed, 2020-05-24)
      The shallow-water equations in a rotating frame of reference are important for capturing geophysical flows in the ocean. In this paper, we examine and compare two traditional finite-difference schemes and two modern finite-volume ...
    • Everyone onboard? Participation ratios as a metric for research activity assessments within young universities 

      Sandnes, Frode Eika (Scientometrics;126, pages 6105–6113 (2021), Peer reviewed; Journal article, 2021-06-05)
      Research productivity metrics designed for international and national comparison of institutions may be uncritically adopted for research assessments, especially within young universities with short research traditions. ...
    • EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality 

      Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Lecture Notes in Computer Science;Volume 12104, Conference object, 2020-04-09)
      Dynamical systems possess a computational capacity that may be exploited in a reservoir computing paradigm. This paper presents a general representation of dynamical systems which is based on matrix multiplication. That ...
    • Evolutionary optimization algorithms for sunlight-based positioning sensor networks 

      Pardeiro, Jose; Gomez, Javier V.; Brunete, Alberto; Sandnes, Frode Eika (International Journal of Distributed Sensor Networks;Article ID 564072, Journal article; Peer reviewed, 2014)
      The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlight intensity detection. This paper presents the integration of SGPS into a sensor network in order ...
    • Evolutionary-based automated testing for GraphQL APIs 

      Belhadi, Asma; Zhang, Man; Arcuri, Andrea (GECCO: Genetic and Evolutionary Computation Conference;GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Conference object, 2022)
      The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limitations of RESTful APIs. This paper introduces ...
    • Evolved Art with Transparent, Overlapping, and Geometric Shapes 

      Berg, Joachim; Berggren, Nils Gustav Andreas; Borgeteien, Sivert; Jahren, Christian; Sajid, Arqam; Nichele, Stefano (Communications in Computer and Information Science;Volume 1056, Conference object, 2019-11-22)
      In this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, lines. Genotypes representing features and ...
    • Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity 

      Jensen Farner, Jørgen; Weydahl, Håkon; Jahren, Ruben; Huse Ramstad, Ola; Nichele, Stefano; Heiney, Kristine Anne (IEEE Symposium Series on Computational Intelligence (SSCI);2021 IEEE Symposium Series on Computational Intelligence (SSCI), Conference object, 2021-01-24)
      Neuro-inspired models and systems have great potential for applications in unconventional computing. Often, the mechanisms of biological neurons are modeled or mimicked in simulated or physical systems in an attempt to ...
    • Exact Solutions of the Field Equations for Empty Space in the Nash Gravitational Theory 

      Aadne, Matthew Terje; Grøn, Øyvind (Universe;Volume 3, Issue 1, Journal article; Peer reviewed, 2017-02-14)
      John Nash has proposed a new theory of gravity. We define a Nash-tensor equal to the curvaturetensorappearingintheNashfieldequationsforemptyspace,andcalculateitscomponents for two cases: 1. A static, spherically symmetric ...
    • Exchange energies with forces in density-functional theory 

      Tancogne-Dejean, Nicolas; Penz, Markus; Laestadius, Andre; Csirik, Mihaly Andras; Ruggenthaler, Michael; Rubio, Angel (Peer reviewed; Journal article, 2024)
      We propose exchanging the energy functionals in ground-state density-functional theory with physically equivalent exact force expressions as a new promising route toward approximations to the exchange–correlation potential ...
    • Exchange-only virial relation from the adiabatic connection 

      Laestadius, Andre; Csirik, Mihaly Andras; Penz, Markus; Tancogne-Dejean, Nicolas; Ruggenthaler, Michael; Rubio, Angel; Helgaker, Trygve (Peer reviewed; Journal article, 2024)
      The exchange-only virial relation due to Levy and Perdew is revisited. Invoking the adiabatic connection, we introduce the exchange energy in terms of the right-derivative of the universal density functional w.r.t. the ...
    • Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      With the development of Industry 4.0 technology, modern industries such as Bosch’s welding monitoring witnessed the rapid widespread of machine learning (ML) based data analytical applications, which in the case of welding ...
    • ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics 

      Zhuoxun, Zheng; Zhou, Baifan; Zhou, Dongzhuoran; Soylu, Ahmet; Kharlamov, Evgeny (CIKM: Conference on Information and Knowledge Management;, Chapter; Peer reviewed; Conference object, 2022)
      Data analytics including machine learning (ML) is essential to extract insights from production data in modern industries. However, industrial ML is affected by: the low transparency of ML towards non-ML experts; poor and ...
    • Experience with the use of a digital sleep diary in symptom management by individuals with insomnia -a pilot mixed method study 

      Thorshov, Thea Christine; Øverby, Caroline Tonje; Hansen, Diana Dobran; Bong, Way Kiat; Skifjeld, Knut; Hurlen, Petter; Dammen, Toril; Moen, Anne; Hrubos-Strøm, Harald (Peer reviewed; Journal article, 2023)
      Background: Insomnia is the most common sleep disorder. The recommended treatment is cognitive behavioural therapy for insomnia (CBTi). A sleep diary is a core tool in CBTi. We have developed a digital sleep diary with ...
    • Experiences and challenges of international students in technology-rich learning environments 

      Habib, Laurence Marie Anna; Johannesen, Monica; Øgrim, Leikny (Educational Technology & Society;17(2), Journal article; Peer reviewed, 2013)
      This article presents a study of international students and their use of technology in a Scandinavian institution of Higher Education. A special emphasis is placed on patterns of use of a virtual learning environment (VLE) ...
    • Experiences of Parents and Teachers with Virtual Classrooms during the COVID-19 Restrictions: A Study Focusing on Inclusive Education in Malaysia 

      Phua, Chu Yun; Chua, Kah Heng; Bong, Way Kiat (Education Sciences;Volume 12 / Issue 12, Peer reviewed; Journal article, 2022-12-01)
      The COVID-19 pandemic has resulted in emergency remote teaching in many countries. In Malaysia, not all households were prepared for remote teaching. This has caused some groups of students to be left out. Therefore, in ...