Blar i NTNU Open på tittel
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Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review
(Peer reviewed; Journal article, 2021)Atrial Fibrillation (AF) is a type of arrhythmia characterized by irregular heartbeats, with four types, two of which are complicated to diagnose using standard techniques such as Electrocardiogram (ECG). However, and ... -
Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
(Journal article; Peer reviewed, 2018)Cyber-physical-social system (CPSS) has drawn tremendous attention in industrial applications such as industrial Internet of Things (IIoT). As the fundamental component of IIoT, bearings play an increasingly important role ... -
Prediction of building response to excavation induced ground settlement using FEM analysis and ground measurement data.
(Master thesis, 2022)Denne oppgaven sammenligner to analyser av grunnsetninger fra samme utgravningsprosjekt. Til sammenligning er det laget en elementmodell av en bygning ved siden av en dyp utgravning. Den første analysen er med predikasjon ... -
Prediction of cerebral palsy in young infants: Computer-based assessment of general movements
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:50, Doctoral thesis, 2010)Cerebral palsy (CP) is the most serious chronic motor disability that can occur in infants. Despite improvements in care and reduced mortality among high risk term and preterm infants, the prevalence of CP is stable. ... -
Prediction of Classifier Performance using Data Set Characteristics
(Master thesis, 2015)In machine learning, choosing a suitable algorithm for solving a particular problem is often a question of trial and error. A method for predicting the performance of various algorithms on the data set could potentially ... -
Prediction of Clinical Endpoints in Breast Cancer Using NMR Metabolic Profiles
(Chapter, 2018)Metabolic profiles reflect biological conditions as a result of biochemical changes within a living system. It is therefore possible to associate metabolic signatures with clinical endpoints of diseases, such as breast ... -
Prediction of CO2 diffusivity in brine using white-box machine learning
(Peer reviewed; Journal article, 2020)Accurate knowledge of the diffusivity coefficient of CO2 in brine has a significant effect on the design success and monitoring of CO2 storage in saline aquifers, which is a part of carbon capture and sequestration (CCS). ... -
Prediction of CO2 solubility in deep eutectic solvents using random forest model based on COSMO-RS-derived descriptors
(Journal article; Peer reviewed, 2021) -
Prediction of coalescence and rebound of fluid particles in non-Newtonian media through film drainage modeling
(Master thesis, 2023)The drainage of a non-Newtonian film entrapped between two fluid particles that are moving toward one another with time-dependent velocities, causing either coalescence and rebound, is examined in this thesis. Attention ... -
Prediction of Condensed Phase Formation during an Accidental Release of Liquid Hydrogen
(Peer reviewed; Journal article, 2022)Hydrogen can be adopted as a clean alternative to hydrocarbons fuels in the marine sector. Liquid hydrogen (LH2) is an efficient solution to transport and store hydrogen onboard of large ships. LH2 will be implemented in ... -
Prediction of Culvert Failure - A desktop study of water-driven culvert failure in Soknedal using a developed method
(Master thesis, 2018)The risk connected to water-related hazards on roads and railways is becoming more acute in Norway. A significant maintenance backlog combined with climate change and land modification and -intervention has increased the ... -
Prediction of deepwater riser VIV with an improved time domain model including non-linear structural behavior
(Peer reviewed; Journal article, 2021)In this paper, vortex-induced vibrations (VIV) of deepwater risers including the VIV-induced tension fluctuations were simulated using a time domain VIV model. Data from a large-scale riser experiment was applied for ... -
Prediction of Design Response for North Sea
(Master thesis, 2010)The methods to predict long term extreme structure responses induced by environmental loads are reviewed. Due to the variability of both environmental condition and response in a given environmental condition, the prediction ... -
Prediction of DHW energy use in a hotel in Norway
(Journal article; Peer reviewed, 2019)Domestic hot water (DHW) systems are significant consumers of energy in buildings. This article is dedicated to hourly and daily DHW energy use modeling, with the aim of achieving energy savings in buildings. The methods ... -
Prediction of DI-CI Engine Performance and Emission Characteristics of Varying Renewable Diesel Fuels with Experimental Results from Marine Diesel fuel
(Master thesis, 2011)This paper discusses finding of combustion research carried out using Ricardo hydra research diesel engine with varying renewable fuels. The primary fuel of investigation is rapeseed methyl ester (RME) and marine diesel ... -
Prediction of ductile failure using a phenomenological model calibrated from micromechanical simulations
(Journal article, 2016)Unit-cell models were in this study utilized to numerically determine the failure locus of a cast and homogenized AA6060 aluminum alloy. Simulations were conducted for moderate and high stress triaxiality ratios, and for ... -
Prediction of embankment settlement on Swedish peat using the soft soil creep model
(Peer reviewed; Journal article, 2020)Despite the prevalence of peat in northern areas of Europe and elsewhere, there are comparatively few case histories of carefully monitored embankments constructed directly on peat. In addition the use of relatively advanced ... -
Prediction of Emulsion Flow in Pipes by Non-Newtonian Flow Models and Emulsion Parameters - A Study of Water-in-Oil Emulsions
(Master thesis, 2017)The objective of this master s thesis is to measure emulsion properties, and check if these data combined with flow models enable prediction of emulsion flow in pipes. The two non-Newtonian flow models Power law and ... -
Prediction of extreme loads and fatigue damage for a ship hull due to ice action
(Doktoravhandlinger ved NTNU, 1503-8181; 2013:77, Doctoral thesis, 2013)Knowledge about statistical behavior of local ice loads on ship hulls is valuable for the purpose of safe voyage in ice-covered waters, both for short and long term time horizons. Based on the loads that are measured, e.g. ... -
Prediction of extreme response of a fixed platform exposed to nonlinear wave loads
(Master thesis, 2009)