• ICRAN: Intelligent control for self-driving RAN based on deep reinforcement learning 

      Mohamed Ahmed, Azza Hassan; Elmokashfi, Ahmed Mustafa Abdalla (Peer reviewed; Journal article, 2022)
    • Ideals generated by submaximal minors 

      Kleppe, Jan Oddvar; Miro-Roig, Rosa Maria (Algebra & Number Theory;3 (4), Journal article; Peer reviewed, 2009)
      The goal of this paper is to study irreducible families W(b;a) of codimension 4, arithmetically Gorenstein schemes X of P^n defined by the submaximal minors of a t x t matrix A whose entries are homogeneous forms of degree ...
    • Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence 

      Storås, Andrea; Magnø, Morten Schjerven; Fineide, Fredrik; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (Peer reviewed; Journal article, 2023)
      Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ...
    • Identifying the Usability Factors of Mid-Air Hand Gestures for 3D Virtual Model Manipulation 

      Chen, Li-Chieh; Cheng, Yun-Maw; Chu, Po-Ying; Sandnes, Frode Eika (Journal article; Peer reviewed, 2017)
      Although manipulating 3D virtual models with mid-air hand gestures had the benefits of natural interactions and free from the sanitation problems of touch surfaces, many factors could influence the usability of such an ...
    • Identity Federation for Cellular Internet of Things 

      Santos, Bernardo; Do, van Thanh; Feng, Boning; Thuan, Do Van (ACM International Conference Proceeding Series;ICSCA 2018 Proceedings of the 2018 7th International Conference on Software and Computer Applications, Journal article; Peer reviewed, 2018)
      Although the vision of 5G is to accommodate billions IoT devices and applications, its success depends very much on its ability to provide enhanced and affordable security. This paper introduces an Identity Federation ...
    • If I had a rich picture… : insights into the use of “soft” methodological tools to support the development of interprofessional education 

      Fougner, Marit; Habib, Laurence (Journal of Interprofessional Care;22 (5), Journal article; Peer reviewed, 2008)
      This paper describes a methodological experiment that aimed to test a small number of tools borrowed from Soft Systems Methodology. Those tools were intended to support action research for a project in interprofessional ...
    • An Image based Automatic 2D:4D Digit Ratio Measurement Procedure for Smart City Health and Business Applications 

      Sandnes, Frode Eika; Neyse, Levent (Chapter; Peer reviewed, 2018)
      2D:4D digit ratios are used for several health and business related applications. Currently, digit ratios are measured manually. This study proposes an automatic digit ratio measurement approach that can be used in the ...
    • Image based contamination detection on hard disk head gimbal assembly 

      Ieamsaard, Jirarat; Muneesawang, Paisarn; Sandnes, Frode Eika (SITIS 2015 - The 11th International Conference on Signal Image Technology & Internet System;, Peer reviewed; Chapter, 2015)
      Contamination may appear in various stages of hard disk manufacturing including the head gimbal assembly. Currently, the detection of contamination requires manual intervention. An image based automatic contamination ...
    • Image Search Versus Text Search Revisited: A Simple Experiment Using a Kahoot Quiz 

      Eide, Signe Aanderaa; Poljac, Ana-Maria; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Information search is a common task when interacting with computers. Many studies have investigated the characteristics that facilitate effective search, specifically the use of icons and/or text. This study reports a ...
    • An image-based visual strategy for working with color contrasts during design 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;Computers Helping People with Special Needs; 10896, Journal article; Peer reviewed, 2018-06-26)
      Many websites do not satisfy minimum contrast requirements. One reason could be that designers must select colors through trial and error using contrast calculators. This paper presents a visual framework for working with ...
    • An Immersive Virtual Reality Exergame for People with Parkinson’s Disease 

      Chen, Weiqin; Bang, Martin; Krivonos, Daria; Schimek, Hanna; Naval, Arnau (Lecture Notes in Computer Science (LNCS); Volume 12376, Conference object, 2020-09-04)
      Parkinson’s disease is a neurodegenerative disorder that affects primarily motor system. Physical exercise is considered important for people with Parkinson’s disease (PD) to slow down disease progression and maintain ...
    • Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images 

      Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael (Diagnostics;Volume 11 / Issue 12, Peer reviewed; Journal article, 2021-11-24)
      Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)- based AI systems to improve lesion detection and characterization in endoscopy. Impressive results are achieved, but many medical studies ...
    • The Impact of Leadership on Digital Learning in Health 

      Meyer Solheim, Marit; Skjølsvik, Tale (Proceedings of the European Conference on Knowledge Management;Vol. 23 No. 2 (2022): Proceedings of the 23rd European Conference on Knowledge Management, Peer reviewed; Journal article, 2022-08-25)
      Leaders have a key responsibility in providing employees with the necessary knowledge and training so that they can carry out their work. At the same time, advances in technology, changes in demographics, increased demands ...
    • Impact of Sentence length on the Readability of Web for Screen Reader Users 

      Kadayat, Bam Bahadur; Eika, Evelyn (Lecture Notes in Computer Science;Volume 12188, Conference object, 2020-07-10)
      Readability of text is generally believed to be connected to sentence length. Most studies on readability are based on visual reading. Less is known about text readability for users relying on screen readers, such as users ...
    • Improved fuzzy AHP based game-theoretic model for shipyard selection 

      Sahin, Bekir; Yazir, Devran; Soylu, Ahmet; Yip, Tsz Leung (Ocean Engineering;Volume 233, 1 August 2021, 109060, Peer reviewed; Journal article, 2021-06-02)
      Shipowners face the challenge of selecting shipyards to build a new ship, as shipyards are highly similar in terms of capacity and capability but highly heterogeneous with a variety of incentives to shipowners. Building a ...
    • Improving Assistive Technology in Practice: Contributions From Interdisciplinary R&D Collaboration 

      Medola, Fausto Orsi; Sandnes, Frode Eika; da Silva, Sara Raquel Martins; Rodrigues, Ana Claudia Tavares (Assistive Technology Outcomes & Benefits Journal;Volume 12, Issue 1, Summer 2018, Journal article; Peer reviewed, 2018)
      This paper describes a collaborative strategy shared by a rehabilitation center and a public university with a goal to improve the knowledge on assistive technology and rehabilitation research and development in Brazil. ...
    • Improving Cellular IoT Security with Identity Federation and Anomaly Detection 

      Santos, Bernardo; Dzogovic, Bruno; Feng, Boning; Jacot, Niels; Do, Thuan Van; Do, van Thanh (International Conference on Computers, Communications, and Systems (ICCCS);2020 5th International Conference on Computer and Communication Systems (ICCCS), Conference object, 2020-06-16)
      As we notice the increasing adoption of Cellular IoT solutions (smart-home, e-health, among others), there are still some security aspects that can be improved as these devices can suffer various types of attacks that can ...
    • Improving Classification of Tweets Using Linguistic Information from a Large External Corpus 

      Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E. (Journal article; Peer reviewed, 2016)
      The bag of words representation of documents is often unsat- isfactory as it ignores relationships between important terms that do not co-occur literally. Improvements might be achieved by expanding the vocabulary with ...
    • Improving classification of tweets using word-word co-occurrence information from a large external corpus 

      Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E. (Chapter; Peer reviewed; Chapter, 2016)
      Classifying tweets is an intrinsically hard task as tweets are short messages which makes traditional bags of words based approach ine cient. In fact, bags of words approaches ig- nores relationships between important ...
    • Improving Phishing Detection with the Grey Wolf Optimizer 

      Naser Jaber, Aws; Fritsch, Lothar; Haugerud, Hårek (International Conference on Electronics, Information, and Communication (ICEIC);2022 International Conference on Electronics, Information, and Communication (ICEIC), Conference object, 2022-04-11)
      With the recent epidemic of COVID-19-themed scam and phishing, the efficient automated detection of such attacks is crucial. Although many anti-phishing solutions, such as lists and similarity and heuristic-based approaches ...