Blar i Publikasjoner fra CRIStin - NTNU på tittel
Viser treff 27606-27625 av 38674
-
Predicting Resistivity and Permeability of Porous Media Using Minkowski Functionals
(Journal article; Peer reviewed, 2019)Permeability and formation factor are important properties of a porous medium that only depend on pore space geometry, and it has been proposed that these transport properties may be predicted in terms of a set of geometric ... -
Predicting ship speeds in the Arctic using deep learning on historical AIS data
(Chapter, 2020)This study offers a perspective of applying fully connected neural networks (NN) to predict vessels’ speeds on a part of the Northern Sea Route and discusses its challenges. A fully connected neural network model was used ... -
Predicting Silica Deposition from Superheated, Pressurized Steam Using Numerical Modeling of Nucleation, Agglomeration and Deposition
(Peer reviewed; Journal article, 2023)A model that can be used to quantify silica deposition from superheated depressurized steam is developed. Classical nucleation theory, agglomeration and deposition onto a wall are combined in a numerical model that calculates ... -
Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches
(Journal article; Peer reviewed, 2017)Digital soil mapping (DSM) involves the use of georeferenced information and statistical models to map predictions and uncertainties related to soil properties. Many remote regions of the globe, such as boreal forest ... -
Predicting solar radiation using a parametric cloud model
(Chapter, 2020)In this paper, we evaluate a method to calculate hourly global solar radiation and improve the calculation of diffuse and vertical surface radiation on building facades by accounting for ground conditions based on publicly ... -
Predicting solvent degradation in absorption–based CO2 capture from industrial flue gases
(Peer reviewed; Journal article, 2023)This work aims to predict solvent degradation rates in absorption-based CO2 capture processes using a 30 wt% aqueous monoethanolamine (MEA) solvent. A degradation model for MEA is developed and used to predict solvent ... -
Predicting strain engineering strategies using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor
(Journal article; Peer reviewed, 2018)Streptomyces coelicolor is a model organism for the Actinobacteria, a phylum known to produce an extensive range of different bioactive compounds that include antibiotics currently used in the clinic. Biosynthetic gene ... -
Predicting stress, strain and deformation fields in materials and structures with graph neural networks
(Journal article; Peer reviewed, 2022) -
Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression
(Peer reviewed; Journal article, 2020)In recent years, wake steering has been established as a promising method to increase the energy yield of a wind farm. Current practice in estimating the benefit of wake steering on the annual energy production (AEP) ... -
Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test
(Journal article; Peer reviewed, 2014)Background: We searched for predictors of the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder (ADHD), emphasizing variables from quantitative electroencephalography, event-related ... -
Predicting the Emergence of Major Neurocognitive Disorder Within Three Months After a Stroke
(Peer reviewed; Journal article, 2021)Background: Neurocognitive disorder (NCD) is common after stroke, with major NCD appearing in about 10% of survivors of a first-ever stroke. We aimed to classify clinical- and imaging factors related to rapid development ... -
Predicting the Heading Misalignment of a Vessel-Shaped Offshore Fish Farm Under Waves and Currents
(Chapter, 2018)A vessel-shaped fish farm concept for open sea applications has been proposed recently. The whole system consists of a vessel-shaped floater, fish cages positioned longitudinally along the floater, and a single-point mooring ... -
Predicting the mechanism and rate of H-NS binding to at-rich DNA
(Journal article; Peer reviewed, 2019)Bacteria contain several nucleoid-associated proteins that organize their genomic DNA into the nucleoid by bending, wrapping or bridging DNA. The Histone-like Nucleoid Structuring protein H-NS found in many Gram-negative ... -
Predicting the neutralisation of acid mine drainage in anoxic olivine drains
(Peer reviewed; Journal article, 2008)The precipitation of gypsum within anoxic limestone drains subjected to very acidic and sulphate rich acid mine drainage is a problem that can be prevented by initial neutralisation of the drainage using magnesium-rich ... -
Predicting the outcome of persistent sciatica using conditioned pain modulation: 1-year results from a prospective cohort study
(Peer reviewed; Journal article, 2019)Background and aims Recovery in patients hospitalised with severe sciatica is unpredictable. Prognostic tools to aid clinicians in the early identification of patients at risk of developing chronic sciatic pain are warranted. ... -
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder – Decoder
(Journal article; Peer reviewed, 2023)Hybrid ventilation is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented modesl is required. ... -
Predicting the Speed of a Wave-Propelled Autonomous Surface Vehicle Using Metocean Forecasts
(Chapter, 2022)Wave-propelled autonomous surface vehicles are becoming increasingly popular in oceanographic research due to their ability to provide persistent observations of the ocean environment. This type of vehicles are propelled ... -
Predicting thermal conductivity of carbon dioxide using group of data-driven models
(Peer reviewed; Journal article, 2020)Thermal conductivity of carbon dioxide (CO2) is a vital thermophysical parameter that significantly affects the heat transfer modeling related to CO2 transportation, pipelines design and associated process industries. The ... -
Predicting thrust loss of ship propellers due to ventilation and out-of-water effect
(Journal article; Peer reviewed, 2017)This paper presents a propeller ventilation model that is tuned on experiments performed in open water condition in a towing tank. The main purpose of performing the experiments was to obtain more data at higher advance ...