Browsing NTNU Open by Title
Now showing items 74019-74038 of 103770
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Prediagnostic circulating levels of sex hormones and survival in esophageal adenocarcinoma
(Peer reviewed; Journal article, 2021)ex hormonal differences may contribute to the strong male predominance in esophageal adenocarcinoma (EAC), but whether sex hormone levels influence survival in EAC is unstudied. Our study aimed to assess associations between ... -
Prediciting Filter Lifetime for Hydraulic Systems
(Bachelor thesis, 2018)Fokuset på denne oppgaven var å utvikle en mer pålitelig og generell metode for å forutsi tilstanden til filtrene som er installert i hydrauliske systemer. Med bedre overvåkning og predikasjoner på levetid for disse ... -
The predictability of house prices: “human against machine”
(Peer reviewed; Journal article, 2021)We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with ... -
Predictable computing for cyber-physical systems
(Doctoral theses at NTNU;2024:49, Doctoral thesis, 2024)Cyber-physical systems encompass a vast category of systems where computers operate in feedback with physical systems. Cyber-physical systems hold the potential for enormous societal impact, comparable to that of the ... -
Predicted versus actual rock mass conditions: a review of four tunnel projects in Nepal Himalaya
(Journal article; Peer reviewed, 2007)The Himalayan region possesses enormous potential for hydropower development. However, there exists great challenge for the successful underground excavation due to complex geological set up of the region. It is generally ... -
Predicting Academic Staffs Behaviour Intention and Actual Use of Blended Learning in Higher Education: Model Development and Validation
(Peer reviewed; Journal article, 2021)Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a ... -
Predicting acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a continuous-performance test
(Journal article; Peer reviewed, 2013)Background: The aim of this study was to search for predictors of acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder (ADHD), emphasizing variables from quantitative ... -
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
(Peer reviewed; Journal article, 2020)Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of ... -
Predicting AEA dosage by Foam Index and adsorption on Fly Ash
(Chapter, 2012)Abstract: The unpredictable air entrainment in fly ash concrete caused by carbon in fly ash was studied by measuring adsorption of Air Entraining Agents (AEA) on the fly ash and by Foam Index (FI) testing. The FI test ... -
Predicting aerosol size distribution development in absorption columns
(Journal article; Peer reviewed, 2018)There are two main mechanisms for amine emissions from absorption columns. The first is connected to the volatility of amine, determining the gaseous concentration. The second mechanism is via aerosol droplets containing ... -
Predicting Allosteric Regulation at Genome Scale
(Master thesis, 2023)Celler administrerer et ubegripelig antall reaksjonsveier og reaksjoner for å holde seg i live. For å sikre korrekt produksjon av reaktanter for de aktuelle forholdene er cellen avhengig av å regulere proteinaktivitet. ... -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks
(Master thesis, 2021)Mennesker bruker 87 % av tiden sin innendørs, for det meste i sin egen bolig. Innemiljøet er en avgjørende faktor for folks helse og velferd. Det er en økende utfordring med overoppheting i bygninger på grunn av varmere ... -
Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks
(Peer reviewed; Journal article, 2022)Simulation-based multi-objective optimizations is proving to be an effective approach for supporting the building design and finding a balance between daylight availability, thermal comfort and energy performance. This ... -
Predicting bending moments with machine learning
(Peer reviewed; Journal article, 2019)We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We ... -
Predicting Bike-Sharing Traffic Flow using Machine Learning
(Master thesis, 2018)Bike-Sharing Systems (BSSs) have rapidly grown in popularity worldwide in recent years. The driving forces of this explosive growth are attributed to access to modern ubiquitous technology, increased urbanization, a desire ... -
Predicting Bitcoin returns using time series analysis and deep learning
(Bachelor thesis, 2024)I denne Bacheloroppgaven utvikler vi algoritmer basert på predikert avkastning for handel av kryptovalutaen Bitcoin, og med dette utfordrer hypotesen om effisiente markeder. Vi oppnår dette ved å lage modeller for sekvenslæring ... -
Predicting Campaign Success in Crowdfunding: An Empirical Study of Kickstarter Projects
(Master thesis, 2023)Denne avhandlingen analyserer suksessfaktorene for kampanjer som lanseres på Kickstarter-plattformen. For å sikre relevans for plattformens nåværende tilstand, samt undersøke virkningen av pandemien, er datasettet delt inn ... -
Predicting CEO Misbehavior from Observables: Comparative Evaluation of Two Major Personality Models
(Chapter, 2019)The primary purpose of this study is to demonstrate how publicly observable pieces of information can be used to build various psychological profiles that can be utilized for the prediction of behavior within a risk analysis ...