Blar i NTNU Open på tittel
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Applying Geographic Information Retrieval — An Experience Report on Developing Local Search for a Developing Country
(Journal article; Peer reviewed, 2014)This article reports on the efforts to establish a research project on a geospatial search engine for the Latin American country of Honduras during the author’s research stay at a local university. Honduras is an interesting ... -
Applying hybrid methods to reduce nonphysical cycles in the flux field
(Master thesis, 2012)In this thesis we present the theoretical background for the two-point flux-approximation method; (TPFA), mimetic discretisation methods, and the multipoint flux approximation method; (MPFA). Theoretical arguments concerning ... -
Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
(Peer reviewed; Journal article, 2020)Water alternating CO2 gas injection (WAG CO2) is one of the most promising enhanced oil recovery techniques. The optimization of this process requires performing many time‐consuming simulations. In this paper, an intelligent ... -
Applying hyperparameter optimization and other model adaption methods to tune existing models for microbial pathogens in drinking water supplies
(Master thesis, 2018)The collection and analysis of data on the concentration of pathogenic organisms in raw water sources is critical for the optimization of disinfection processes in water treatment plants. Nevertheless, there are no robust ... -
Applying IEEE 1278.1-2012 Concepts to Support Integration of Digital Twins in Industrial Applications
(Chapter, 2022)Digital twins serve as a source of new insights about industrial processes and systems performance and enable the use of cutting-edge technologies for their optimization. Solution vendors offer a variety of tools for digital ... -
Applying improved median linkage heuristic for cell formation problem considering binary data
(Journal article, 2011)Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cells and corresponding part families to form the production cells. This article portrays a novel approach based on median ... -
Applying K-means with Triangle Inequality on Apache Flink, with Applications in Intrusion Detection
(Master thesis, 2020)K-means er en av de mest brukte kluster-algoritmene, men den fungerer på en relativt naiv måte og majoriteten av distansekalkulasjonene den utfører er unødvendige. Tidligere forskning har bevist at ved å utnytte triangelaksiomet ... -
Applying Language Technology in ErrorDetection for Optical Music Recognition
(Master thesis, 2020)Etter fremveksten av teknikker som benytter dyp læring har Optical Music Recognition-løsninger som forsøker å lese og forstå noter sett store fremskritt. Teknikker som benytter dyp læring er ofte vanskelig å validere, noe ... -
Applying Learning Analytics in the course TDT4100 at NTNU
(Master thesis, 2015)In the Object Oriented Programming course TD4100 at NTNU there is a need to get an improved overview of the learning challenges of the students. A better understanding of how the students work, and how they handle the ... -
Applying Machine Learning to Detect Fraud in Telecommunication Networks
(Master thesis, 2019)Svindel i telekommunikasjonsnettverk er et økende problem på verdensbasis, og en betydelig inntektsstrøm for dem som utfører det. Av den grunn oppstår det stadig nye svindelmetoder som har teleselskaper og deres abonnementer ... -
Applying Machine Learning to Detect Fraud in Telecommunication Networks
(Master thesis, 2019)Svindel i telekommunikasjonsnettverk er et økende problem på verdensbasis, og en betydelig inntektsstrøm for dem som utfører det. Av den grunn oppstår det stadig nye svindelmetoder som har teleselskaper og deres abonnementer ... -
Applying Machine Learning to Factor Investing in the Corporate Bond Market
(Master thesis, 2023)Ved å anvende teknikker fra maskinlæring, utforsker vi effektiviteten av faktorinvestering i markedet for selskapsobligasjoner. Vår analyse tar for seg syv sentrale faktorer: Størrelse, Verdi, Kvalitet, Momentum, ESG, Rente ... -
Applying Machine Learning Using Custom Trained Convolutional Neural Networks on Subsea Object Detection and Classification
(Master thesis, 2019)Med bakgrunn i aldrende utstyr på norsk kontinentalsokkel er behovet for inspeksjoner, vedlikehold og reparasjoner forventet å øke betydelig de kommende årene. Fjernstyrte undervannsfarkoster (ROV) spiller en vesentlig ... -
Applying material flow analysis for optimizing construction aggregates management in the road sector
(Master thesis, 2018)The construction of infrastructure presents large issues of environmental impacts, land-use conflicts, and resource scarcity. Good resource management streamlining the material use and waste production is essential to ... -
Applying Material Flow Analysis to develop Circular Economy strategies for improved resource efficiency at OneSubsea
(Master thesis, 2022)Masteroppgaven er en casestudie som undersøker materialflyten av stål for strømningsmålere hos OneSubsea ved bruk av materialstrømanalyse, for å videre vurdere, evaluere og anbefale Sirkulær Økonomi (SØ) strategier for å ... -
Applying MFA to investigate life cycle management strategies of silage wraps used in Norway
(Master thesis, 2022)Plast er et unikt materiale som er mye brukt i nesten alle sektorer, noe som gjør det til et av de mest produserte syntetiske materialene i verden. Som et resultat har det nå blitt svært viktig for den sosioøkonomiske ... -
Applying Multi-Agent Software System to Support Citywide Mobile Learning
(Doktoravhandlinger ved NTNU, 1503-8181; 2011:296, Doctoral thesis, 2011)Mobile Learning is an emerging mode of learning, in which a learner can use his/her mobile device to learn anywhere and any time. The immature and diverse field of Mobile Learning holds a blooming future and promises great ... -
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
(Peer reviewed; Journal article, 2020)Overdependence on and exploitation of forest resources have significantly transformed the natural reserve forest of Sundarban, which shares the largest mangrove territory in the world, into a great degradation status. By ... -
Applying Natural-Language-Processing-Based Machine-Learning Techniques to our Large Scale CUDA AutoTuning Dataset
(Master thesis, 2021)Autotuning oppgaver er nesten umulige for mennesker å gjennomføre. Den abstrakte relasjonen mellom maskinvare parametere og program ytelse, gjør parameter setting uegnet for hånd. Uten autotuning, mangler programvare ... -
Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis
(Peer reviewed; Journal article, 2021)With the rise of focus on man made changes to our planet and wildlife therein, more and more emphasis is put on sustainable and responsible gathering of resources. In an effort to preserve maritime wildlife the Norwegian ...