Browsing Institutt for datateknologi og informatikk by Title
Now showing items 4653-4672 of 6564
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Pre-trained transformers with transfer learning and handcrafted-features for entity matching
(Master thesis, 2021)Entitetsmatching (EM) er det å identifisere dataoppføringer fra forskjellige databaser som referer til samme entitet. Nylig så har transformer-baserte språkmodeller blitt introdusert til EM. Disse har vist seg å være svært ... -
Precious Metal Price Prediction based on Deep Regularization Self-Attention Regression
(Journal article; Peer reviewed, 2020)It is non-trivial to predict the prices of precious metals since a number of factors can affect the fluctuations of precious metal prices. Either parametric models or machine learning models cannot accurately forecast the ... -
Precision Tuning the Rust Memory-Safe Programming Language
(Journal article, 2024) -
Predicting Academic Staffs Behaviour Intention and Actual Use of Blended Learning in Higher Education: Model Development and Validation
(Peer reviewed; Journal article, 2021)Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a ... -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
Predicting Bike-Sharing Traffic Flow using Machine Learning
(Master thesis, 2018)Bike-Sharing Systems (BSSs) have rapidly grown in popularity worldwide in recent years. The driving forces of this explosive growth are attributed to access to modern ubiquitous technology, increased urbanization, a desire ... -
Predicting E-commerce Consumer Behaviour Using Sparse Session Data
(Master thesis, 2015)This thesis research consumer behavior in an e-commerce domain by using a data set of sparse session data collected from an anonymous European e-commerce site. The goal is to predict whether a consumer session results in ... -
Predicting faults in power grids using machine learning methods
(Master thesis, 2019)I en verden som er stadig mer avhengig av elektrisitet, er det av svært viktig å sørge for et stabilt kraftdistributionsnett. Med de siste fremskrittene innen smart grid teknologi, er aktører som tidligere pleide å være ... -
Predicting Final Intraday Electricity Prices in the Very Short Term Utilizing Artificial Neural Networks
(Master thesis, 2020)Med økende bruk av fornybare energikilder har utviklingen av prismodeller for intradag handel blitt en viktig oppgave for mange markedsaktører for å optimalisere beslutningsprosessen. Dog har ikke den tilgjengelige ... -
Predicting Final Intraday Electricity Prices in the Very Short Term Utilizing Artificial Neural Networks
(Master thesis, 2020)Med økende bruk av fornybare energikilder har utviklingen av prismodeller for intradag handel blitt en viktig oppgave for mange markedsaktører for å optimalisere beslutningsprosessen. Dog har ikke den tilgjengelige ... -
Predicting In-Hospital Death from Derived EHR Trajectory Features
(Chapter, 2024)Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective ... -
Predicting in-hospital death from derived EHR trajectory features
(Chapter, 2023)Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective ... -
Predicting Interference-Free Performance with Linear Model Trees
(Master thesis, 2020)Moderne flerkjerne-prosessorer bruker ofte delte hardwarekomponenter for å forbedre utnyttelsen av hver enkelt komponent og en bedre ytelse fra systemet i sin helhet. Men, slike delte komponenter fører også til at en ... -
Predicting learners' effortful behaviour in adaptive assessment using multimodal data
(Chapter, 2020)Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they ... -
Predicting learning outcomes and motivating student achievement in interactive learning environments: guidelines for learning design
(Master thesis, 2023)De siste årene har e-læring fått betydelig oppmerksomhet. Gode e-læringsplattformer kjennetegnes ved å kunne gi studentene tilstrekkelig veiledning for å kunne fasilitere aktiv læring. En av de viktigste utfordringene ... -
Predicting learning outcomes and motivating student achievement in interactive learning environments: guidelines for learning design
(Master thesis, 2023)De siste årene har e-læring fått betydelig oppmerksomhet. Gode e-læringsplattformer kjennetegnes ved å kunne gi studentene tilstrekkelig veiledning for å kunne fasilitere aktiv læring. En av de viktigste utfordringene ... -
Predicting live matches
(Master thesis, 2019)Fotballbetting har i senere tid økt i popularitet. Det har vært utført mange studier som har prøvd å predikere utfallet av fotballkamper, både for moro skyld og for å prøve å profitere ved å bruke prediksjonene i ... -
Predicting MicroRNA targets
(Master thesis, 2005)MicroRNAs are a large family of short non-encoding RNAs that regulated protein production by binding to mRNAs. A single miRNA can regulate an mRNA by itself, or several miRNAs can cooperate in regulating the mRNAs. This ... -
Predicting missing pairwise preferences from similarity features in group decision making
(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 Outcomes of Association Football Matches Based on Individual Players' Performance
(Master thesis, 2014)This master's thesis concludes our five years study in Computer Science, at the Norwegian University of Science and Technology.Predicting the outcome of football matches is a research area where it is possible to earn a ...