Blar i Institutt for datateknologi og informatikk på tittel
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A Content-Based Artificial Immune System for Music Recommendation
(Master thesis, 2022)Automatisk spilleliste fortsettelse (ASF) innebærer å foreslå sanger som kunne passet inn i en original spilleliste. Diversitet, et gjennomgående tema og sammenheng mellom sangene er elementer som beskriver en god spilleliste. ... -
A Context Aware Recommendation System for movies
(Master thesis, 2017)People like to watch movies, but they do not always know what they want to see. Although there exist applications that helps people solve this issue, they are not being used very often (see Appendix A). People tend to do ... -
A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks
(Master thesis, 2017)The challenges of training generative adversarial network (GAN) to produce discrete tokens, have seen a considerable amount of work in the past year. However, the amount of successful work on applying deep generative models ... -
A CRDT-based file synchronization system
(Master thesis, 2021)Denne masteroppgaven utviklet en Conflict-free Replicated Data Type basert filsynkroniseringssystem ved bruk av en skreddersydd Conflict-free Replicated Data Type som en indeks for å spore endringer av filer og mapper. ... -
A Data-Driven CBR and Clustering Method for Identifying Physical Activity Phenotypes
(Master thesis, 2023)Denne masteroppgåva undersøker nyskapande metodar for å identifisere fenotypar for fysisk aktivitet, hovudsakleg ved bruk av Case-Based Reasoning (CBR) og gruppering. Studien utforskar effektane av å variere talet på ... -
A Data-Driven Security Game to Facilitate Information Security Education
(Chapter, 2019)Many universities have started to educate students on how to develop secure software and systems. One challenge of teaching information security is that the curriculum can easily be outdated, because new attacks and ... -
A Data-intensive Approach to Prediction of Unwanted Events during Oil and Gas Well Drilling
(Master thesis, 2005)A Data-intensive Approach to Prediction of Unwanted Events during Oil and Gas Well Drilling -
A Decentralized Architecture Using the Null-Space-Based Behavioral Control For Multi-Agent Systems with Application to Border Patrolling, Search and Retrieval
(Master thesis, 2013)This report proposes a new method for searching and retrieving a dynamically changing border using robotic multi-agent systems as an extension to the patrolling task - the problem of coordinating autonomous agents patrolling ... -
A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project
(Journal article; Peer reviewed, 2018)Background: Low back pain (LBP) is a leading cause of disability worldwide. Most patients with LBP encountered in primary care settings have nonspecific LBP, that is, pain with an unknown pathoanatomical cause. Self-management ... -
A Decision Support Tool for Planning Lamp Post Charging Stations
(Master thesis, 2019)Det finnes mange artikler som har hatt et teoretisk fokus på optimal plassering av ladestasjoner. I Norge, hvor utbredelsen av elektriske kjøretøy er blant den høyeste i verden og det er flere ladestasjoner enn bensinstasjoner, ... -
A Decision Support Tool for Planning Lamp Post Charging Stations
(Master thesis, 2019)Det finnes mange artikler som har hatt et teoretisk fokus på optimal plassering av ladestasjoner. I Norge, hvor utbredelsen av elektriske kjøretøy er blant den høyeste i verden og det er flere ladestasjoner enn bensinstasjoner, ... -
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
(Journal article; Peer reviewed, 2019)Anomaly in mechanical systems may cause equipment to break down with serious safety, environment, and economic impact. Since many mechanical equipment usually operates under tough working environments, which makes them ... -
A Deep Learning Ensemble Approach to Gender Identification of Tweet Authors
(Master thesis, 2017)Author profiling is a field within Natural Language Processing, in addition to being a sub-field of the broader research area concerning authorship analysis. It aims to classify personal traits of authors, such as gender ... -
A Deep Learning-Based Method for Regional Wind Power Production Volume Prediction
(Master thesis, 2020)Målet med denne studien var å estimere produksjonsvolumet av vindkraft i en stor geografisk region gitt de numeriske vær-datane (NWP) over regionen og metoder basert på dyp læring. Et presist estimat for fremtidig ... -
A deep network model for paraphrase detection in short text messages
(Journal article; Peer reviewed, 2018)This paper is concerned with paraphrase detection, i.e., identifying sentences that are semantically identical. The ability to detect similar sentences written in natural language is crucial for several applications, such ... -
A Developed Eco-Sourcing Tool Based on Model View Control Architecture for Small and Medium Enterprise
(Journal article; Peer reviewed, 2019)This study aims to develop an eco-sourcing tool grounded on Model View Control (MVC) architecture for Small and Medium Enterprise (SME) to enable clients’ select automobiles products online and order any automobile by just ... -
A digital game using collaborative storytelling to help children practice empathy
(Master thesis, 2019)Kontekst: Forskning viser at gode sosiale og emosjonelle ferdigheter er korrelert med større grad av lykke, høyere selvtillit, og en bedre evne til å opprettholde relasjoner. Historiefortelling er vist å være en effektiv ... -
A Distributed-to-Centralised naming and routing mechanism model in Smart Cities.
(Master thesis, 2019)Smarte byer produserer store mengder data fra en stor mengde enheter. Denne dataen trenger å bli lagret, disseminert, og overført gjennom nettverket i smarte byer for agreggering, analyse, lagring og så videre. Med dette ... -
A Distributed-to-Centralized Architectural Model for Smart City Applications and Services through Container Orchestration
(Master thesis, 2019)Bruken av IoT-enheter øker eksponentielt, og dette fører til en enorm økning i data generert fra slike enheter. For øyeblikket sendes det meste av de genererte dataene direkte til skyplattformer for behandling. Dette skaper ... -
A Distributed-to-Centralized Cost Model for Service Selection in Smart Cities
(Master thesis, 2019)Med en voksende urban befolkning, og nye støttende teknologier, er det antatt at den fremtidige smarte byen kommer til å generere store mengder data som trenger å bli administrert for å kunne bli brukt på en måte slik at ...