Browsing TKD - Institutt for informasjonsteknologi by Title

Now showing items 414-433 of 932

    • 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 ...

    • Improving resource discovery and access through user-controlled adaptation: Exploring the role of library metadata 

      Beyene, Wondwossen; Aasheim, Marius Wiker (Lecture Notes in Artificial Intelligence;volume 10908, Journal article; Peer reviewed, 2018-06-06)
      Accessibility of library search tools is measured not only by their adherence to accessibility guidelines, but also by the ease they offer users to find accessible resources. This makes library metadata an object of study ...

    • Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise 

      Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (Peer reviewed; Journal article, 2022)
      Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ...

    • Improving the robustness to input errors on touch-based self-service kiosks and transportation apps 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;10896; Computers Helping People with Special Needs, Journal article; Peer reviewed, 2018-06-26)
      Text input is cumbersome on public self-service kiosks and apps. Applications often provide prefix-based text suggestions to speed up input, but the input must be correct. However, application specific lists are usually ...

    • Improving the Usability of Interactive Systems by Incorporating Design Thinking into the Engineering Process: Raising Computer Science Students’ Awareness of Quality versus Quantity in Ideation 

      Sandnes, Frode Eika; Eika, Evelyn; Medola, Fausto Orsi (Conference object, 2019-10-21)
      Traditional engineering methods are considered unsuitable for the development of usable and engaging interactive systems such as online experimentation and simulation software. For systems involving users, user-centric ...

    • IncludeOS: A minimal, resource efficient unikernel for cloud services 

      Bratterud, Alfred; Walla, Alf-Andre; Haugerud, Hårek; Engelstad, Paal E.; Begnum, Kyrre (IEEE International Conference on Cloud Computing Technology and Science;2015, Journal article; Peer reviewed, 2015)
      The emergence of cloud computing as a ubiquitous platform for elastically scaling services has generated need and opportunity for new types of operating systems. A service that needs to be both elastic and resource efficient ...

    • Increasing faculty’s competence in digital accessibility for inclusive education: a systematic literature review 

      Bong, Way Kiat; Chen, Weiqin (International Journal of Inclusive Education;, Peer reviewed; Journal article, 2021-06-08)
      The use of information and communications technology (ICT) in higher education institutions has increased in the past 20 years. While ICT has brought many benefits to students and faculty, research shows that it also creates ...

    • An Incremental Approach for Swift OpenFlow Anomaly Detection 

      Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E. (2018 IEEE 43rd Conference on Local Computer Networks (LCN);, Conference object, 2018)
      Software Defined Networking (SDN) is designed for dynamic policy update where frequent changes are pushed to the forwarding devices. Different offline approaches for detecting misconfiguration anomalies in SDN by taking a ...

    • Incremental Quantiles Estimators for Tracking Multiple Quantiles 

      Hammer, Hugo Lewi; Yazidi, Anis (Journal article; Peer reviewed, 2017)
      In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume that we are dealing with a dynamical system, i.e. the distribution of the samples from ...