Blar i NTNU Open på tittel
Viser treff 72075-72094 av 100803
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Prediction of ships’ speed-power relationship at speed intervals below the design speed
(Peer reviewed; Journal article, 2021) -
Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty
(Journal article; Peer reviewed, 2019)Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via ... -
Prediction of Short-term Wind and Wave Conditions Using Adaptive Network-based Fuzzy Inference System (ANFIS) for Marine Operations
(Chapter, 2018)The paper focuses on prediction of short-term environmental conditions by using an improved ANFIS method for marine operations. The hindcast data used here consists of ten-year long one-hourly time series of mean wind speed ... -
Prediction of Student's Performance With Learning Coefficients Using Regression Based Machine Learning Models
(Peer reviewed; Journal article, 2023)Advanced machine learning (ML) methods can predict student’s performance with key features based on academic, behavioral, and demographic data. Significant works have predicted the student’s performance based on the primary ... -
Prediction of Surge and Swab from Field Data Compared with Existing Theory - Analysis of Two Wells in the North Sea
(Master thesis, 2016)Existing theory of surge and swab are compared with field data. The purpose of this master thesis is to examine whether or not existing methods can be used for calculations of surge and swab pressure. Field data from two ... -
Prediction of the accuracy of a dynamic positioning system of a vessel, The Solitaire
(Master thesis, 2011)This report presents the modeling of a pipelay vessel’s motions -the Solitaire- and its DP controller using the bond graph method. The governing equations are obtained with hydrodynamics considerations. Problems of finding ... -
Prediction of the response from ice forces to a lighthouse structure
(Master thesis, 2009) -
Prediction of the response from ice forces to a lighthouse structure: Reanalysis of the Nygrån lighthouse collapseincident in the light of new design codes
(Master thesis, 2010)Ice interacting with offshore structures is one of the main concerns for engineering activities in arcticand sub-arctic areas. As new offshore structures are built or planned in these areas, the need to developmore accurate ... -
Prediction of upper extremity peak oxygen consumption from heart rate during submaximal arm cycling in young and middle-aged adults
(Peer reviewed; Journal article, 2019)Based on the strong linear relationship between heart rate (HR) and oxygen consumption, the Åstrand–Ryhming cycle ergometer test (Astrand and Ryhming in J Appl Physiol 7:218–221, 1954) is a widely used submaximal test to ... -
Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models
(Journal article; Peer reviewed, 2018)Estimating the vehicle crashworthiness experimentally is expensive and time-consuming. For these reasons, different modelling approaches are utilised to predict the vehicle behaviour and reduce the need for full-scale crash ... -
Prediction of Ventricular Arrhythmias by QRS/QTc - Ratio in Citalopram or Escitalopram Intoxication
(Peer reviewed; Journal article, 2022)Background: The U.S. Food and Drug Administration (FDA) has stated that citalopram and escitalopram should not be used at daily doses above 40 mg/20 mg due to risk for development of fatal ventricular arrhythmias like ... -
Prediction of Vessel Activity in Arctic Waters using Supervised Learning Methods
(Master thesis, 2022)Raske miljøendringer i Arktis, i form av varmere temperaturer og smelting av havis, fører til lengre navigasjonssesonger og alternative transportveier. Økt sjøtrafikk i de tøffe klimaforholdene fører til en høyere sannsynlighet ... -
Prediction of vibration from tunnel blasting using machine learning
(Master thesis, 2022)Blasting is the cheapest and most effective way of constructing the tunnel. However, it produces many undesirable consequences from blasting. Some of them are not so important but with increasing, tunneling practice in ... -
Prediction of VO2max from submaximal exercise using the smartphone application myworkout GO : validation study of a digital health method
(Peer reviewed; Journal article, 2022)Background: Physical inactivity remains the largest risk factor for the development of cardiovascular disease worldwide. Wearable devices have become a popular method of measuring activity-based outcomes and facilitating ... -
Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods
(Chapter, 2021)Injection molding is one of the major processes applied for production of thermoplastic products. Thermoplastic materials are used in manufacturing of dozens of products seen in everyday life, such as: car bumpers, children ... -
Prediction of Wind Power Production Using Beta Transformed Linear Pool
(Master thesis, 2017)In the power trading market, transmission system operators and other actors buy and sell power related to future production. Power production from wind- and solar farms is affected by rapid weather changes, and producers ... -
Predictions for Railway Traveller Information
(Master thesis, 2023)Jernbanen har alltid vært en viktig samfunnsaktør for hverdagslig transport. For å kunne opprettholde en effektiv jernbanetrafikkplanlegging og styring, så er nøyaktig sanntids tog forsinkelses prediksjoner essensielt. Med ... -
Predictions for Railway Traveller Information
(Master thesis, 2023)Jernbanen har alltid vært en viktig samfunnsaktør for hverdagslig transport. For å kunne opprettholde en effektiv jernbanetrafikkplanlegging og styring, så er nøyaktig sanntids tog forsinkelses prediksjoner essensielt. Med ... -
Predictions of football results in the Premier League and its use on the betting market
(Master thesis, 2021)I denne Masteroppgaven introduserer jeg ulike parametriske statistiske modeller, som ligner Generaliserte lineære blandede modeller, og jeg bruker de estimerte verdiene fra modellene til å prediktere resultatene for fotball ... -
Predictions of Pre-edge Features in Time-Resolved Near-Edge X-ray Absorption Fine Structure Spectroscopy from Hole–Hole Tamm–Dancoff-Approximated Density Functional Theory
(Journal article, 2021)Time-resolved near-edge X-ray absorption fine structure (TR-NEXAFS) spectroscopy is a powerful technique for studying photochemical reaction dynamics with femtosecond time resolution. In order to avoid ambiguity in TR-NEXAFS ...