Blar i Fakultet for ingeniørvitenskap (IV) på tittel
Viser treff 12997-13016 av 22889
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Machine learning augmented reduced-order models for FFR-prediction
(Peer reviewed; Journal article, 2021)Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine ... -
Machine Learning based Acoustic Anomaly Detection of Gas Leakages in Industrial Environments
(Master thesis, 2022)Målet med denne masteroppgaven var å utvikle en akustisk gasslekkasjedetektor basert på maskinlæring. Gasslekkasjer kan være frustrerende for industrielle anleggseiere da de fører til energiforbruk, høyere kostnader, økt ... -
Machine learning based digital twin framework for aquaculture net cage system
(Master thesis, 2022)I denne master oppgaven er det presentert et rammeverk for digital tvilling for fiskeoppdrettsanlegg ved å bruke numerisk simulering, maskin læring og sensor data. De numeriske simuleringene er utført med programvaren FhSim ... -
Machine Learning Based Heuristic Technique for Multi-response Machining Process
(Peer reviewed; Journal article, 2020)Manufacturing process variables influence the quality of products substantially. It is unquestionably difficult to model the manufacturing processes that include a large number of variables and responses. Development of ... -
Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces
(Peer reviewed; Journal article, 2021)It is widely recognized that surface roughness plays an important role in ice adhesion strength, although the correlation between the two is far from understood. In this paper, two approaches, molecular dynamics (MD) ... -
A machine learning enabled ultra-fine grain design strategy of Mg–Mn-based alloys
(Peer reviewed; Journal article, 2023)Grain size is the critical characteristic of ultra-fine grain Magnesium (Mg), which is a concrete representation of the whole heat deformation procedure. In this paper, a design strategy was proposed to quantitatively ... -
Machine learning for predicting dimensions of extrusion blow molded parts: A comparison of three algorithms
(Journal article; Peer reviewed, 2023)In the perspective of feed-forward control through a manufacturing process chain, production data can be used downstream to correct subsequent processes and improve product quality. In an extrusion blow-moulding (EBM) use ... -
Machine Learning in Predictive Maintenance of Railway Infrastructures: Implementations and Challenges
(Master thesis, 2022)De nylige teknologiske fremskrittene av Industry 4.0 teknologier har skapt et skifte mot applikasjoner innen maskinlæring (ML) for prediktivt vedlikehold (PdM) og har blitt tatt i bruk av mange bransjer. Derimot finnes det ... -
Machine Learning Methods for Bathymetry Generation in Rivers
(Master thesis, 2022)Natural flood hazards resulted in more than 500,000 reported deaths during the last 20 years. This number is expected to increase in the future due to population growth, rapid urbanization and increased rainfall intensities ... -
Machine learning methods for prediction of hot water demands in integrated R744 system for hotels
(Chapter, 2020)Load forecasting can help modern energy systems achieve more efficient operation by means of more accurate peak power shaving and more reliable control. This paper proposes a framework based on machine learning algorithms ... -
Machine Learning of Quality Assurance in Polymer Powder Bed Fusion Additive Manufacturing
(Doctoral theses at NTNU;2020:120, Doctoral thesis, 2020)The latest developments in the field of additive manufacturing (AM) have led to the wider use of this technology for the production of end-user products. As a result, more stringent requirements are set to the quality of ... -
Machine Learning on Complex Projects: Multivariate time series data analysis through utilization of the sequential algorithm LSTM
(Master thesis, 2021)Bruken av maskinlæring har vokst kraftig i løpet av de siste tiårene, og de mange suksesshistoriene har kastet lys over dens iboende verdi. Flere av disse suksesshistoriene stammer fra selskaper som allerede er i den ... -
Machine Learning on Complex Projects: Multivariate time series data analysis through utilization of the sequential algorithm LSTM
(Master thesis, 2021)Bruken av maskinlæring har vokst kraftig i løpet av de siste tiårene, og de mange suksesshistoriene har kastet lys over dens iboende verdi. Flere av disse suksesshistoriene stammer fra selskaper som allerede er i den ... -
Machine learning procedures for automatic well planning in reservoir simulation models
(Doctoral theses at NTNU;2021:404, Doctoral thesis, 2021)Simulation of reservoir models is a tool to optimize the development of an oil and gas reservoir. Part of the development is placement of wells in the reservoir, and this well placement optimization process is performed ... -
Machine learning techniques for modeling chemical absorption in CO2 capture process
(Chapter, 2022)Post-combustion carbon capture (PCC) technologies play an important role in the reduction of CO2 emissions to address climate challenges. This process is usually simulated in process simulation software based on first-principle ... -
Machine learning techniques for real-time collision detection in a wheeled mobile robot
(Master thesis, 2023)This thesis focuses on the application of various machine learning (ML) techniques to improve the overall dependability of a wheeled mobile robot (WMR) control during a real-time simulation. The whole system consists on a ... -
Machine Learning using High Resolution Zivid Point Clouds on a High Performance Cluster
(Master thesis, 2022)I dette masterprosjektet presenteres det metoder og arbeid som muligjør bruken av høyoppløste Zivid punktskyer i maskinlæringsbiblioteket Minkowski Engine skrevet av Chris Choy. I tillegg har det blitt laget et datasett ... -
Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization
(Peer reviewed; Journal article, 2023)Smart meter-driven remote auditing of buildings, as an alternative to the labor-intensive on-site visits, permits large-scale and rapid identification of buildings with low energy performance. The existing literature has ... -
Machine learning-based predictive maintenance: A cost-oriented model for implementation
(Journal article; Peer reviewed, 2021)Predictive Maintenance (PdM) is a condition-based maintenance strategy (CBM) that carries out maintenance action when needed, avoiding unnecessary preventive actions or failures. Machine learning (ML), in the form of ... -
Machine Learning-based Time Series Forecasting for Dynamic Reorder Points
(Master thesis, 2023)Etterspørselen etter helsetjenester i Norge øker på grunn av demografiske endringer, inkludert en voksende og aldrende befolkning. Denne økningen i etterspørsel forventes å føre til høyere helseutgifter og øke presset på ...