• Portrett i tiden : en undersøkelse av portrettmaleriets betydning i samtiden, - en case-studie av en barne- og ungdomsskole og et museum 

      Andersen, Marte Lin Alvheim (Master thesis, 2012)
      This thesis, Portrett i tiden, is written by Marte Lin A. Andersen, as part of the degree Masters in Arts and Crafts (120 credits), Subject 3, the master's (60 credits). The thesis is focused on the painted portrait, ...
    • Poruka [ljudima] / Et budskap [til folket] 

      Vaizovic, Inda (Bachelor thesis, 2023)
      Poruka [ljudima] / Et budskap [til folket] er en bacheloroppgave bestående av et antagonistisk installasjonsverk, en formidlingstekst og en akademisk tekst. Det antagonistiske installasjonsverket er et stemmeavlukke, ...
    • The possibility of reducing power peaks through a temporary reduction in central heating system power - simulations in IDA ICE 

      Zahiti, Albin (Master thesis, 2023)
      In recent times there has been a trend of electrification worldwide, as large parts of the world move away from the use of fossil fuels. This shift is of significant importance, particularly within the building sector, ...
    • Possible concepts for digital twin simulator for WWTP 

      Komulainen, Tiina; Johansen, Hilde (Linköping Electronic Conference Proceedings;No. 185, Conference object, 2021-03-31)
      Application of advanced modeling and simulation technologies is essential to meet future requirements for higher wastewater treatment capacity and increased discharge water quality without large investments in construction ...
    • Post-COVID ventilation design: Infection risk-based target ventilation rates and point source ventilation effectiveness 

      Kurnitski, Jarek; Kiil, Martin; Mikola, Alo; Võsa, Karl-Villem; Aganovic, Amar; Schild, Peter G.; Seppänen, Olli (Peer reviewed; Journal article, 2023)
      Ventilation, air filtration and disinfection have been found to be the main engineering measures to control the airborne respiratory infection transmission in shared indoor spaces. Wells-Riley model modifications allow to ...
    • Post-enzymatic hydrolysis heat treatment as an essential unit operation for collagen solubilization from poultry by-products. 

      Kristoffersen, Kenneth Aase; Afseth, Nils Kristian; Böcker, Ulrike; Dankel, Elin Katinka; Rønningen, Mats; Lislelid, Andreas; Ofstad, Ragni; Lindberg, Diana; Wubshet, Sileshi Gizachew (Food Chemistry;Volume 382, 15 July 2022, 132201, Peer reviewed; Journal article, 2022-02-11)
      Enzymatic protein hydrolysis (EPH) is an invaluable process to increase the value of food processing by-products. In the current work the aim was to study the role of standard thermal inactivation in collagen solubilization ...
    • Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming 

      Midoglu, Cise; Klausen, Magnus; Alay Erduran, Özgü; Yazidi, Anis; Haugerud, Hårek; Griwodz, Carsten (S3: Wireless of the Students, by the Students, for the Students;S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop, Conference object, 2019-10)
      We propose a QoE-based analysis approach for real-time adaptive 360-degree video streaming measurements, focusing on the correlation between objective video metrics and subjective end-user scores.
    • Potensialer og begrensninger i digital formidling av kunst - Belyst gjennom prosjektet ”Ukens kunstverk" 

      Sandmark, Janne (Master thesis, 2014)
      I denne masteroppgaven belyser jeg hvordan samfunnets teknologiske utvikling utvider og begrenser mulighetene i formidling av digitaliserte kunstverk. For dette formålet intervjuer jeg representant ...
    • Potential of miRNAs in urinary extracellular vesicles for management of active surveillance in prostate cancer patients 

      Ramirez-Garrastacho, Manuel; Berge, Viktor; Linē, Aija; Llorente, Alicia (British Journal of Cancer;126 (2022), Peer reviewed; Journal article, 2021-11-22)
      Background: Active surveillance is an alternative to radical treatment for patients with low-risk prostate cancer, which could also benefit some patients with intermediate risk. We have investigated the use of miRNA in ...
    • Power Your Wardrobe. Hvordan kan et enkelt offentlig søm-tilbud på folkeverkstedet Deichmann Bjørvika, hjelpe bibliotekets brukere å endre inaktive klær tilbake til bruk? 

      Munthe, Mariann (Master thesis, 2023)
      Masteroppgaven er basert på forskning av egen praksis i et søm verkstedet der det undersøkes hvordan et enkelt offentlig søm tilbud kan hjelpe klær til et lengre bruk. Sammen med Deichmann i Bjørvika gis det et enkelt ...
    • Pozzolanisk høyfast betong med tilgjengelige materialer 

      Sandøy, Henriette; Faraglia, Giulia Andersen; Torp, Mathias; Minos-Stensrud, Sarah Charlotte (Bachelor thesis, 2019)
      Denne bacheloroppgaven omhandler muligheten for å produsere pozzolanisk høyfast betong, med tilstrekkelig støpelighet, trykkfasthet innenfor definisjonsområdet gitt i Eurokode 2, og som utnytter tilgjengelige materialer ...
    • Practice of universal design in administration staff in higher education 

      Malik, Imran (MAUU;2020, Master thesis, 2020)
      In the current information era, while there is availability of plenty of information, it also gives rise to the technical, and ethical issue of making IT accessible and usable for everyone. Digital media plays a vital role ...
    • Praktisk tilnærming som formidlingsgrep: Estetisk opplevelse i en sanselig formidlingsstrategi 

      Karlsen, Marianne (Master thesis, 2016)
      Denne masteroppgaven tar for seg formidlingsformer innen praktisk tilnærming med utgangspunkt i utstillingen Avtrykk. Tresnitt fra fem århundre, ved Nasjonalgalleriet, i perioden fra 06.11.15 - 24.01.16. I oppgaven undersøkes ...
    • Pre-code RC bare frame: Seismic retrofit with alternative strategies 

      Zucconi, Maria; Marcello, Sabene; Kioumarsi, Mahdi; Ferracuti, Barbara (AIP Conference Proceedings; Volume 2293, Issue 1, Journal article; Peer reviewed, 2020-11-25)
      In the last fifty years, a significant number of earthquakes that caused great economic losses and casualties have been recorded. In particular, in the last ten years, many seismic events occurred, and their medium magnitude ...
    • Predicting ADHD in Children Using Eye-Tracking Data and Mathematical Modeling 

      Papanikolaou, Christos; Lencastre, Pedro (Master thesis, 2023)
      Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurobiological condition with far-reaching implications for a child's academic achievement, well-being, and social interactions. Despite its impact, current ...
    • Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos 

      Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, ...
    • Predicting Compressive Strength of Concrete Containing Recycled Aggregate Using Modified ANN with Different Optimization Algorithms 

      Kandiri, Amirreza; Sartipi, Farid; Kioumarsi, Mahdi (Applied Sciences;Volume 11, Issue 2, Journal article; Peer reviewed, 2021-01-06)
      Using recycled aggregate in concrete is one of the best ways to reduce construction pollu- tion and prevent the exploitation of natural resources to provide the needed aggregate. However, recycled aggregates affect the ...
    • Predicting compressive strength of CRM samples using Image processing and ANN 

      Waris, M.I.; Mir, J.; Plevris, V.; Ahmad, A. (IOP Conference Series: Materials Science and Engineering;volume 899, Peer reviewed; Journal article, 2020)
      Quality of concrete is majorly ascertained through its compressive strength which has a significant role in the stability of concrete structures. In this study, artificial neural network (ANN) and image processing (IP) ...
    • Predicting disease severity in multiple sclerosis using multimodal data and machine learning 

      Andorra, Magi; Freire, Ana; Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Bos, Steffan Daniel; Rinas, Melanie; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune; Berge, Tone; Brune, Synne; Ivaldi, Federico; Cellerino, Maria; Pardini, Matteo; Vila, Gemma; Pulido-Valdeolivas, Irene; Martinez-Lapiscina, Elena H.; Llufriu, Sara; Saiz, Albert; Blanco, Yolanda; Martinez-Heras, Eloy; Solana, Elisabeth; Bäcker-Koduah, Priscilla; Behrens, Janina; Kuchling, Joseph; Asseyer, Susanna; Scheel, Michael; Chien, Claudia; Zimmermann, Hanna; Motamedi, Seyedamirhosein; Kauer-Bonin, Josef; Brandt, Alex; Saez-Rodriguez, Julio; Alexopoulos, Leonidas G.; Paul, Friedemann; Harbo, Hanne-Cathrin Flinstad; Shams, Hengameh; Oksenberg, Jorge; Uccelli, Antonio; Baeza-Yates, Ricardo; Villoslada, Pablo (Peer reviewed; Journal article, 2023)
      Background Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. Methods We have analysed a prospective ...
    • Predicting High Delays in Mobile Broadband Networks 

      Mohamed Ahmed, Azza Hassan; Hicks, Steven; Riegler, Michael; Elmokashfi, Ahmed Mustafa Abdalla (IEEE Access;Volume 9: 2021, Peer reviewed; Journal article, 2021-12-24)
      The number of applications that run over mobile networks, expecting bounded end-to-end delay, is increasing steadily. However, the stochastic and shared nature of the wireless medium makes providing such guarantees ...