Blar i Fakultet for teknologi, kunst og design (TKD) på tittel
Viser treff 1866-1885 av 2663
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Potensialer og begrensninger i digital formidling av kunst - Belyst gjennom prosjektet ”Ukens kunstverk"
(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
(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?
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Predicting missing pairwise preferences from similarity features in group decision making
(Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis
(Journal article; Peer reviewed, 2022)Pre-dehumidification time (𝜏�pre ) and pre-dehumidification energy consumption (Epre ) play important roles in preventing the condensation of moisture on the floors of rooms that use a radiant floor cooling (RFC) ... -
Predicting peek readiness-to-train of soccer players using long short-term memory recurrent neural networks
(International Workshop on Content-Based Multimedia Indexing, CBMI;, Conference object, 2019)We are witnessing the emergence of a myriad of hardware and software systems that quantifies sport and physical activities. These are frequently touted as game changers and important for future sport developments. The vast ... -
Predicting performance and scaling behaviour in a data center with multiple application servers
(Master thesis, 2006)As web pages become more user friendly and interactive we see that objects such as pictures, media files, cgi scripts and databases are more frequently used. This development causes increased stress on the servers due ... -
Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach
(Bioresource Technology;, Peer reviewed; Journal article, 2022)Screening of suitable microbe-nutrient combination and prediction of oil recovery at the initial stage is essential for the success of Microbial Enhanced Oil Recovery (MEOR) technique. However, experimental and physics-based ... -
Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning
(International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ... -
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults
(IEEE Access;Volume 7, Journal article; Peer reviewed, 2019-08-08)We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ...