Viser treff 238-257 av 627

    • HealthTrust: A Social Network Approach for Retrieving Online Health Videos 

      Fernandez-Luque, Luis; Karlsen, Randi; Melton, Genevieve B (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Background: Social media are becoming mainstream in the health domain. Despite the large volume of accurate and trustworthy health information available on social media platforms, finding good-quality health information can be difficult. Misleading health information can often be popular (eg, antivaccination videos) and therefore highly rated by general search engines. We believe that community ...
    • Healthy Transportation Choices with IoT and Smart Nudging 

      Mehmood, Fazal (Mastergradsoppgave; Master thesis, 2021-06-01)
      Modern technology has provided people with ease of living but at the same time has given birth to the problems of equally modern nature. For instance, high reliance on private transportation has resulted in unintended consequences such as high level of air pollution and congestion in urban cities. Another main disadvantage that is often overlooked is related to the rise of several noncommunicable ...
    • Helping activate children through the use of video games 

      Lomax, Jørn Vollan (Master thesis; Mastergradsoppgave, 2015-06-15)
      The video games industry is now one of the biggest entertainment industries in the world. Forb es magazine estimates that the video game industry will sell games for 70 billion dollars by the end of 2015, and the biggest growth is in the mobile market. While most of the video game industry is creating games strictly for entertainment purp oses, there is a growing demand for games that can b e ...
    • Highly efficient and scalable framework for high-speed super-resolution microscopy 

      Do, Quan; Acuña Maldonado, Sebastian Andres; Kristiansen, Jon Ivar; Agarwal, Krishna; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-05)
      The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique for wide-field fluorescence microscopy. Although MUSICAL has several advantages, such as its high resolution, its low computational performance has limited its exploitation. This paper aims to analyze the performance and scalability of MUSICAL for improving its low computational performance. We first ...
    • HiPerWA: High Performance Wireless Analytics. A survey into the challenges of constructing, managing, debugging and optimizing an in-production large-scale enterprise network 

      Johansen, Bjørn Ludvig Langaas (Master thesis; Mastergradsoppgave, 2016-06-01)
      Enterprise wireless networks are becoming larger and larger, with more and more users and devices connecting to the networks. This requires the infrastructure to be closely monitored and adjusted to ensure an optimum experience for users and their devices. Existing proprietary solutions exist, but are either costly, resource demanding, rigid or may not be able to deliver the functionality that is ...
    • The House of Carbs: Personalized Carbohydrate Dispenser for People with Diabetes 

      Randine, Pietro; Micucci, Daniela; Hartvigsen, Gunnar; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
      Patients with diabetes are often worried about having low blood glucose because of the unpleasant feeling and possible dangerous situations this can lead to. This can make patients consume more carbohydrates than necessary. Ad-hoc carbohydrate estimation and dosing by the patients can be unreliable and may produce unwanted periods of high blood glucose. In this paper we present a system that ...
    • How mHealth can facilitate collaboration in diabetes care: qualitative analysis of codesign workshops 

      Bradway, Meghan; Morris, Rebecca L.; Giordanengo, Alain; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-30)
      <i>Background</i> - Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system.<p> ...
    • How to apply for a professorship at Norwegian Universities and University Colleges 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      An employee in an academic position has to do at least three different tasks: research, teaching and research dissemination. In addition come administrative duties. These tasks draw on different skills that all should be documented in an application for an academic position. Unfortunately, only a minority is writing their applications so that their total competence is documented. A good application ...
    • How to become a professor before you turn 40? (Alternatively – How to become a professor?) 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      In Norway, where all associate professors (“førsteamanuensis”) who are qualified as a (full) professor are offered a personal professorship, it is no other than the associate professor him/herself who stands in the way of the Professor title. This article reviews 12 success criteria in order to achieve qualifications as (full) professor: (1) Accept professional challenges, (2) always consider ...
    • How to use an app to Nudge people to choose more green transportation? 

      Myrvang, Ingvild Kristiane (Mastergradsoppgave; Master thesis, 2021-10-02)
      Making green transport choices are more important than ever to save the environment. To accomplish this there must be a reduction in emissions of greenhouse gases and other pollutants. How to make people choose green transportation, when it is inconvenient, is an interesting challenge. Most would rather take the easy way out to avoid the extra planning and estimation of how to reach their destination. ...
    • Hubble : a platform for developing apps that manage cloud applications and analyze their performance 

      Pettersen, Robert Molund (Master thesis; Mastergradsoppgave, 2012-06-12)
      The ability to deliver computing as a metered service has made the cloud an attractive platform for deployment of applications. Using the cloud, enterprises experience a decrease in maintenance overhead, faster deployment, and that cloud elasticity can be exploited to meet fluctuating resource demands.
    • Humanoid Robot handling Hand-Signs Recognition 

      Amberkar, Mayuresh (Master thesis; Mastergradsoppgave, 2020-08-16)
      Recent advancements in human-robot interaction have led to tremendous improvement for humanoid robots but still lacks social acceptance among people. Though verbal communication is the primary means of human-robot interaction, non-verbal communication that is proven to be an integral part of the human interactions is not widely used in humanoid robots. This thesis aims to achieve human-robot interaction ...
    • Hvordan bli professor før du er 40? (Alternativt – Hvordan bli professor?) 

      Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel, 2015-05)
      Med den norske opprykksordningen hvor alle med professorkompetanse gis et personlig professorat, så er det ingen andre enn den vitenskapelig ansatte selv som står i veien for professortittelen. I denne artikkelen gjennomgås 12 suksesskriterier for å oppnå professorkompetanse: (1) Ta imot faglige utfordringer; (2) tenk publisering; (3) barn bør ta tid; (4) begrens forelesningsforberedelser; (5) ha ...
    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-28)
      Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually label training data. These constraints make it difficult to develop systems for automatic analysis, like detecting disease or other lesions. In this respect, this article ...
    • Hyperprov: Blockchain-based Data Provenance using Hyperledger Fabric 

      Tunstad, Petter (Master thesis; Mastergradsoppgave, 2019-05-31)
      With data intensive computing helping advance state-of-the-art in varied fields, data provenance and lineage continue to remain formidable challenges in assisting with integrity and reproducibility in research and applications. This is particularly challenging for distributed scenarios, where data may be originating from decentralized sources without any centralized control by a single trusted entity. ...
    • 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; Jensen, Janicke L.; Galtung, Hilde (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)
      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 film lipid layer, studying the expression of tear proteins might increase the understanding of the etiology of the condition. Machine learning is able to detect patterns in ...
    • Image and video processing using graphics hardware 

      Lanes, Børge (Master thesis; Mastergradsoppgave, 2010-05)
      Graphic Processing Units have during the recent years evolved into inexpensive high-performance many-core computing units. Earlier being accessible only by graphic APIs, new hardware architectures and programming tools have made it possible to program these devices using arbitrary data types and standard languages like C. This thesis investigates the development process and performance of image and ...
    • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

      Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
    • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

      Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
      Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
    • IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks 

      Wong, Aaron K.; Park, Christopher Y.; Greene, Casey S.; Bongo, Lars Ailo; Guan, Yuanfang; Troyanskaya, Olga (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Integrative multi-species prediction (IMP) is an interactive web server that enables molecular biologists to interpret experimental results and to generate hypotheses in the context of a large cross-organism compendium of functional predictions and networks. The system provides a framework for biologists to analyze their candidate gene sets in the context of functional networks, as they expand or ...