• Architectural Risk Analysis in Agile Development of Cloud Software 

      Jaatun, Martin Gilje (Chapter, 2019)
      Software in the cloud is predominantly developed using agile methodologies, where practices such as continuous deployment and DevOps contribute to increased speed and quick turnarounds. This increased speed does however ...
    • An architecture for self-healing autonomous object groups 

      Meling, Hein (Journal article; Peer reviewed, 2007)
      Jgroup/ARM is a middleware for developing and operating dependable distributed Java applications. Jgroup integrates the distributed object model of Java RMI with the object group paradigm, enabling construction of ...
    • ARDENT - An Augmented Reality Framework for Education 

      Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)
      Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...
    • ARDENT - An Augmented Reality Framework for Education 

      Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)
      Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...
    • Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images 

      Kanwal, Neel; Lopez-Perez, Miguel; Kiraz, Umay; Zuiverloon, Tahlita C M; Molina, Rafael (Peer reviewed; Journal article, 2023)
      Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called whole slide image (WSI), for further examination. ...
    • Array-based logic for realizing inference engine in mobile applications 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2007)
      Mobile and wireless devices suffer from technological limitations such as limited battery life and limited memory size. Hence, use of technologies for mobile applications is confined to those technologies that are faster ...
    • The ARTICONF Approach to Decentralized Car-Sharing 

      Saurabh, Nishant; Rubia, Carlos; Palanisamy, Anandakumar; Koulouzis, Spiros; Sefidanoski, Mirsat; Chakravorty, Antorweep; Zhao, Zhiming; Karadimce, Aleksandar; Prodan, Radu (Peer reviewed; Journal article, 2021)
      Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance ...
    • ARTICONF decentralized social media platform for democratic crowd journalism 

      Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)
      Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ...
    • Artifact Correction in Short-Term HRV during Strenuous Physical Exercise 

      Krolak, Aleksandra; Wiktorski, Tomasz; Bjørkavoll-Bergseth, Magnus; Ørn, Stein (Peer reviewed; Journal article, 2020-11)
      Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions. Since many ...
    • Artifact Detection for Reliable Computational Pathology Systems using Artificial Intelligence 

      Kanwal, Neel (PhD thesis UiS;, Doctoral thesis, 2024)
      Cancer is a significant global health concern, resulting in millions of deaths worldwide each year. Cancer diagnosis is performed using histological examination of glass slides under a microscope. Thanks to digitization ...
    • Artifacts on Magnetic Resonance Imaging from Electronic Identification Enablement in Silicone Gel Implants Are Not Negligible 

      Kurz, Kathinka Dæhli; Kallevåg, Øystein; Austrått, Kenneth; Styr, Bodil Margrethe; Leiknes, Jon Bjarne; Krøger, Pål (Peer reviewed; Journal article, 2021)
      Breast implants filled with silicone gel are used worldwide for cosmetic reasons, or breast reconstruction following risk-reducing or therapeutic mastectomy. The importance of identifiable implants is undeniable. A recent ...
    • Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review 

      Khoraminia, Farbod; Fuster Navarro, Saul; Kanwal, Neel; Olislagers, Mitchell; Engan, Kjersti; Leenders, Geet J.L.H. Van; Stubbs, Andrew P; Akram, Farhan; Zuiverloon, Tahlita C.M. (Peer reviewed; Journal article, 2023)
      Bladder cancer (BC) diagnosis and prediction of prognosis are hindered by subjective pathological evaluation, which may cause misdiagnosis and under-/over-treatment. Computational pathology (CPATH) can identify clinical ...
    • arXiv Table Extractor 

      Ramsay, David Gordon; Pop, Rebeca (Bachelor thesis, 2021)
    • arXiv Table Extractor 

      David Gordon Ramsay and Rebeca Pop (Bachelor thesis, 2021)
      Tables are common and important in scientific publications. They serve as the main elements for presenting findings in a structured way. This project concerns the extraction of tables from scientific papers that have been ...
    • ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation 

      Jekteberg, Øyvind; Gingstad, Kristian (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of this thesis is to explore different methods for recommending scientific literature to scientists and to explore different methods for doing topic extraction. We will update and use the already existing ...
    • Assessing Preprocessing Methods and Software Tools for Functional Connectivity Analysis 

      Cappelen, Casper; Mahesan, Niluja (Master thesis, 2023)
      This thesis presents an introductory exploration of the neuroimaging field, focusing on volume-based analysis using functional connectivity. By studying resting state data using the Power et al. atlas, the research aims ...
    • Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network 

      Amin, Muhammad Saad; Rizvi, Syed Tahir Hussain; Mazzei, Alessandro; Anselma, Luca (Peer reviewed; Journal article, 2023)
      Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ...
    • Attitude and Heading Reference System for a laboratory drilling rig control system 

      Alsaker-Haugen, Joakim Andrè (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-13)
      This thesis describes the work done in contribution to the UiS Drillbotics 2020 drill rig design for the annual international Drillbotics competition. Drillbotic is a competition for universities to design and build a ...
    • Augmented Reality Browser for Android Smartphones 

      Gutierrez Lautero, Jhon Jairo (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Augmented Reality capabilities complement the reality captured by the sensors (human’s senses or technological devices) by adding virtual elements that improve the experience with the real world. The purpose of this ...
    • Automated collection of multi-source spatial information for emergency management 

      Sandra, Moen (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-22)
      Yearly influenza epidemics carries a tremendous societal cost and leads to a large loss of life and an immense strain on the national health care systems. People that become sick are less productive and the overall well-being ...