Blar i Institutt for datateknologi og informatikk på tittel
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Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem
(Peer reviewed; Journal article, 2020)Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ... -
Exploring Pattern Mining for Solving the Ontology Matching Problem
(Peer reviewed; Journal article, 2019)This paper deals with the ontology matching problem, and proposes a pattern mining approach that exploits the different correlation and dependencies between the different properties to select the most appropriate features ... -
Exploring Physical Reservoir Computing using Random Boolean Networks.
(Master thesis, 2016)Reservoir computing (RC), a relatively new approach to machine learning, utilizes untrained recurrent neural networks as a reservoir of dynamics to pre-process some temporal task, making it separable with a linear readout ... -
Exploring pretrained word embeddings for multi-class text classification in Norwegian
(Master thesis, 2019)Det har nylig blitt publisert flere ferdigtrente word embeddings, og en ny utvikling innen fagfeltet er bruken av kontesktualiserte word embeddings. Denne oppgaven utforsker en ferdigtrent, flerspråklig versjon av ... -
Exploring Procedural Content Generation and Personalized Learning for Virtual Driving Education
(Master thesis, 2023)I takt med den økte digitaliseringen i verden, har bruken av virtuelle simulatorer til pedagogiske formål blitt anerkjent og tatt i bruk i stadig økende grad. Trafikkskolen WAY har benyttet virtuelle kjøresimulatorer i ... -
Exploring Procedural Content Generation and Personalized Learning for Virtual Driving Education
(Master thesis, 2023)I takt med den økte digitaliseringen i verden, har bruken av virtuelle simulatorer til pedagogiske formål blitt anerkjent og tatt i bruk i stadig økende grad. Trafikkskolen WAY har benyttet virtuelle kjøresimulatorer i ... -
Exploring Programming Paradigms with IoT and Tiles for End-Users
(Master thesis, 2017)This work explores visual, textual, and physical programming paradigms in order to create software that allows non-technical users to create applications using a rule-based engine. This rule-based engine prototype, Tiles ... -
Exploring Reservoir Computing with Spatial Constraints
(Master thesis, 2020)Reservoarberegning har blitt et fremtredende medlem av paradigmet for ukonvensjonell dataprosessering. Dette er et rammeverk velegnet for prosessering av tidsmessige og sekvensielle data, tradisjonelt ved bruk av rekurrente ... -
Exploring Self-attention Mechanism of Deep Learning in Cloud Intrusion Detection
(Chapter, 2021)Cloud computing offers elastic and ubiquitous computing services, thereby receiving extensive attention recently. However, cloud servers have also become the targets of malicious attacks or hackers due to the centralization ... -
Exploring Self-Supervised Learning for Bird Vocalization Classification
(Master thesis, 2023)Fugler har en essensiell rolle i økosystemet de tilhører og kan bli brukt som indikasjonsarter for å vurdere helsen til et økosystem. På grunn av disse faktorene, har fugleartmonitorering blitt en mulig strategi for å ... -
Exploring Self-supervised Learning-based Methods for Monocular Depth Estimation in an Autonomous Driving Setting
(Master thesis, 2021)Ideen om å få nevrale nettverk til å automatisk lære seg det vi mennesker vil at de skal lære er det ultimale målet for dyp læring. Denne oppgaven vil vise at vi, for enkelte felt, nærmere enn noen gang for å gjøre dette ... -
Exploring software development at the very large-scale: a revelatory case study and research agenda for agile method adaptation
(Journal article; Peer reviewed, 2017)Agile development methods were believed to best suit small, co-located teams, but the success in small teams has inspired use in large and very large-scale software development. However, fundamental assumptions of agile ... -
Exploring Solutions for Embedded Object Detection on Edge Devices
(Master thesis, 2023)Denne masteroppgaven studerer den nåværende state-of-the-art (SOTA) innen effektive datasynsmodeller for enheter med begrenset datakraft. Den presenterer forskning på teknikkene som brukes for å redusere størrelsen og ... -
Exploring Structural and Dynamical Factors in the Evolution of Artificial Neural Networks
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:61, Doctoral thesis, 2010)Real-world networks, such as the network of neurons in the brain, have structural and dynamical properties that distinguish them from artificially created networks. This thesis studies how a selection of these properties ... -
EXPLORING STUDENTS INTENTIONS TO STUDY COMPUTER SCIENCE AND IDENTIFYING THE DIFFERENCES AMONG ICT AND PROGRAMMING BASED COURSES
(Journal article; Peer reviewed, 2014)Computer Science (CS) courses comprise both Programming and Information and Communication Technology (ICT) issues; however these two areas have substantial differences, inter alia the attitudes and beliefs of the students ... -
Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity
(Peer reviewed; Journal article, 2021)Background Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education ... -
Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic
(Peer reviewed; Journal article, 2020)As the novel coronavirus disease 2019 (COVID-19) continues to spread across countries, the need for innovative measures to provide high-quality patient care and manage its spread has become more imperative. Software-based ... -
Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic
(Peer reviewed; Journal article, 2020)As the novel coronavirus disease 2019 (COVID-19) continues to spread across countries, the need for innovative measures to provide high-quality patient care and manage its spread has become more imperative. Software-based ... -
Exploring the Blockchain Technology: Issues, Applications and Research Potential
(Journal article; Peer reviewed, 2021) -
Exploring the effect of digital CSR communication on firm performance: A deep learning approach
(Peer reviewed; Journal article, 2023)This study proposes a novel research framework to examine the effect of digital CSR communications on financial performance while incorporating deep learning techniques to identify firms' CSR communications on social media. ...