• Are object detection assessment criteria ready for maritime computer vision? 

      Prasad, Dilip K.; Dong, Huixu; Rajan, Deepu; Quek, Chai (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-11-25)
      Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in maritime domain received attention only recently. The maritime environment offers its own unique requirements and challenges. Assessment of the quality of detections is a fundamental need in computer vision. However, the ...
    • Argos container, core and extension framework 

      Eriksen, Dan Peder (Master thesis; Mastergradsoppgave, 2007-06-01)
      With the emergence of the internet and e-commerce in the 90’s new common problems arose when developing applications that span the internet. These common problems include among others scalability, robustness, networking, database usage and heterogeneity. Software developers creating internet applications saw themselves reinventing the wheel repeatedly. This lead to the creation of middleware systems ...
    • Artificial intelligence in dry eye disease 

      Storås, Andrea Marheim; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (Journal article; Tidsskriftartikkel, 2021-11-27)
      Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. Many tests used in the diagnosis of DED rely on an experienced observer for image interpretation, which may be considered subjective and result in variation in diagnosis. ...
    • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-29)
      In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may become a promising tool to improve success rates with ART. AI models may compensate for the lack of objectivity in several critical procedures ...
    • Asynchronous replication of eventually consistent updatable views 

      Thomassen, Joachim (Mastergradsoppgave; Master thesis, 2023-06-01)
      Users of software applications expect fast response times and high availability. This is despite several applications moving from local devices and into the cloud. A cloud-based application that could function locally will now be unavailable if a network partition occurs. A fundamental challenge in distributed systems is maintaining the right tradeoffs between strong consistency, high availability, ...
    • Augmented Reality enhanced device usage training tool for in-home health-self-monitoring by pregnant women 

      Ghimire Subedi, Sarala; Martinez, Santiago; Hartvigsen, Gunnar; Gerdes, Martin (Journal article; Tidsskriftartikkel, 2023-09)
      Virtual care comprising virtual visits and monitoring via audio or video has the potential to reduce access barriers to care and has been successfully implemented in prenatal care. It reduces the frequency of in-person visits and increases self-care skills. However, the knowledge and competence in handling monitoring equipment at home directly influences satisfaction and engagement with the ...
    • Augmenting SQLite for Local-First Software 

      Toft Tomter, Iver; Yu, Weihai (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-17)
      Local-first software aims at both the ability to work offline on local data and the ability to collaborate across multiple devices. CRDTs (conflict-free replicated data types) are abstractions for offline and collaborative work that guarantees strong eventual consistency. RDB (relational database) is a mature and successful computer industry for management of data, and SQLite is an ideal RDB candidate ...
    • Authentication and Authorization in Blind Data Miners 

      Myrland, Morten (Master thesis; Mastergradsoppgave, 2021-06-15)
      Chronic pain is defined as pain that lasts for at least 12 weeks. People with chronic pain conditions can have difficulties getting through daily tasks because the pain can limit their mobility, strength, and endurance. As of 2021, there is no universal treatment that works for all cases of chronic pain. A tool that can give personalized treatment alternatives for each patient can benefit this ...
    • Authorization and access control in a distributed file repository 

      Arild, Ronny; Stabell-Kulø, Tage (Research report; Forskningsrapport, 1999-01-18)
      A distributed file repository is described. It supports interaction between different machines used by a single user, as well as between users that share data. Files can be replicated and consistency will be maintained, or files can be shipped (copied) to a remote site. As with more traditional systems, the servers are trusted not to leak information. However, the rôle servers play is not as much ...
    • Auto scaling framework, simulator, and algorithms for the META-pipe backend 

      Teige, Tim Alexander (Master thesis; Mastergradsoppgave, 2018-06-01)
      META-pipe is a metagenomic analysis service provided in the ELIXIR distributed life science infrastructure. It provides assembly of sequence data, functional annotation, and taxonomic profiling. The analysis is computationally intensive and it consist of many jobs which have different requirements and varying complexity and execution times It therefore requires an execution environment that can ...
    • Automated Lung Sound Analysis 

      Grønnesby, Morten (Master thesis; Mastergradsoppgave, 2016-06-01)
      Lungs sounds has been used as a diagnostic tool for centuries. The usefulness of listening to lung sounds, or pulmonary auscultation, as a definite diagnostic method has been diminished by advances in medical imaging such as chest X-Ray, but these advanced methods also bring a higher monetary and time cost. In addition, when the severity of pulmonary conditions changes, audible symptoms change ...
    • Automatic algorithm for determining bone and soft-tissue factors in dual-energy subtraction chest radiography 

      Do, Quan; Seo, Wontaek; Shin, Choul Woo (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-11)
      Lung cancer is currently the first leading cause of worldwide cancer deaths since the early stage of lung cancer detection is still a challenge. In lung diagnosis, nodules sometimes overlap with ribs and tissues on lung chest radiographic images, which are complex for doctors and radiologists. Dual-energy subtraction (DES) is a suitable solution to solve those issues. This article will develop an ...
    • Automatic Image Tagging based on Context Information 

      Evertsen, Martin Hætta (Master thesis; Mastergradsoppgave, 2010-06)
      People love to take images, but are not so willing to annotate the images af-terwards with relevant tags. Manually tagging images is both subjective (dependent on annotator) and time consuming. It would be nice if the tag-ging process could be done automatically. A requirement for effective searching and retrieval of images in rapid growing online image databases is that each image has accurate and ...
    • Automatic thumbnail selection for soccer videos using machine learning 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Hicks, Steven; Johansen, Dag; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål (Chapter; Bokkapittel, 2022-08-05)
      Thumbnail selection is a very important aspect of online sport video presentation, as thumbnails capture the essence of important events, engage viewers, and make video clips attractive to watch. Traditional solutions in the soccer domain for presenting highlight clips of important events such as goals, substitutions, and cards rely on the manual or static selection of thumbnails. However, such ...
    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Bokkapittel, 2023-02-02)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and improve the method in the fertility clinic, the procedure is usually observed at the clinic. Alternatively, a video of the procedure can be examined and labeled in a time-consuming ...
    • AutoMon. Automatic monitoring and problem detection for distributed systems 

      Wikstad, Magnus (Master thesis; Mastergradsoppgave, 2016-05-15)
      When working with distributed systems, detecting faults can be a difficult task, as abnormalities isn't necessarily immediately evident by warnings or system crashes. This is especially true with subtle faults, such as variations in performance of a running program, it is not necessarily its own fault, but could rather be from a different source, somewhere in the cluster, using a lot of resources ...
    • Autostrata: Improved Automatic Stratification for Coarsened Exact Matching 

      Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander (Chapter; Bokkapittel, 2022-08-22)
      We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed ...
    • Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts 

      Agarwal, Rohit; Prasad, Dilip Kumar; Horsch, Ludwig Alexander; Gupta, Deepak Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new features at later points in time and a lack of clarity on the total number of input features. These challenges make it hard to build a learnable system for such applications, and almost no work exists in ...
    • Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs 

      Agarwal, Rohit; Agarwal, Krishna; Horsch, Alexander; Prasad, Dilip K. (Journal article; Tidsskriftartikkel, 2022-04-13)
      Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios, some features are reliable while others are unreliable or inconsistent. We propose a novel online deep learning-based model called Auxiliary Network (Aux-Net), which is scalable and agile and can handle any number of inputs at each time instance. The Aux-Net model is ...
    • Áika: A Distributed Edge System for AI Inference 

      Alslie, Joakim Aalstad; Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-17)
      Video monitoring and surveillance of commercial fisheries in world oceans has been proposed by the governing bodies of several nations as a response to crimes such as overfishing. Traditional video monitoring systems may not be suitable due to limitations in the offshore fishing environment, including low bandwidth, unstable satellite network connections and issues of preserving the privacy of crew ...