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Pre-treatment levels of inflammatory markers and chemotherapy completion rates in patients with early-stage breast cancer
(Peer reviewed; Journal article, 2022)Background Chemotherapy efficacy is largely dependent on treatment adherence, defned by the relative dose intensity (RDI). Identifcation of new modifable risk factors associated with low RDI might improve chemotherapy ... -
Preamble Reservation Based Access for Grouped mMTC Devices with URLLC Requirements
(Journal article; Peer reviewed, 2019)Ultra-reliable low latency communication (URLLC) and massive machine type communications (mMTC) are two of the three major technological pillars in 5G. For medium access in mMTC scenarios, e.g., smart cities, a major ... -
Preamble Transmission Prediction for mMTC Bursty Traffic : A Machine Learning based Approach
(Journal article; Peer reviewed, 2020) -
Precision of Different Methods to Assess Lower Limb Force-Velocity Relationship
(Master thesis, 2019)Konfidensiell til / confidential until 01.07.2024 -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022) -
Predicting and mapping human risk of exposure to ixodes ricinus nymphs using climatic and environmental data, Denmark, Norway and Sweden, 2016
(Journal article; Peer reviewed, 2019) -
Predicting Bitcoin Returns Using Artificial Neural Networks - An Application of Large Datasets to Convolutional Neural Networks and Long Short-Term Memory Based Artificial Neural Networks in Finance.
(Master thesis, 2022)Time series forecasting is one of the foremost challenges studied in finance. In this thesis various Convolutional Neural Network and Long Short Term Memory Artificial Neural Network models are used to predict Bitcoin ... -
Predicting Electrical Power Consumption on Yearly Events for Substations: Algorithm Design and Performance Evaluations
(Master thesis, 2020)Accurate prediction of electricity usage is critical for grid companies in or-der to ensure reliable power supply for their customers. Many factors in-fluence usage patterns, but generally they consist of yearly-, ... -
Predicting leadership emergence in global virtual teams
(Peer reviewed; Journal article, 2023)Objective: This study examines the individual factors that predict whether individuals will emerge as leaders in global virtual teams, which often lack a more formal leadership structure. Research Design & Methods: We focus ... -
Predicting the spatial abundance of Ixodes ricinus ticks in southern Scandinavia using environmental and climatic data
(Journal article; Peer reviewed, 2019) -
Predicting who fails to meet the physical activity guideline in pregnancy: a prospective study of objectively recorded physical activity in a population-based multi-ethnic cohort
(Journal article; Peer reviewed, 2016)Background: A low physical activity (PA) level in pregnancy is associated with several adverse health outcomes. Early identification of pregnant women at risk of physical inactivity could inform strategies to promote PA, ... -
Predicting women purchase intention for green food products in Indonesia
(Master thesis, 2009)This study investigated the applicability of the Theory of Planned Behavior in predicting women consumers on their intention towards purchasing green food products among 406 participants. Using linear regression, five ... -
Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network
(Peer reviewed; Journal article, 2021)Numerical simulations in coupled aero-hydro-servo-elastic codes are known to be a challenge for design and analysis of offshore wind turbine systems because of the large number of design load cases involved in checking the ... -
Prediction of Electricity Usage Using Convolutional Neural Networks
(Master thesis, 2017)Convolutional Neural Networks are overwhelmingly accurate when attempting to predict numbers using the famous MNIST-dataset. In this paper, we are attempting to transcend these results for time- series forecasting, and ... -
Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models
(Journal article; Peer reviewed, 2018) -
Predictors and mediators of differences in soft drinks consumption according to gender and plans of further education among Norwegian secondary-school children
(Journal article; Peer reviewed, 2011)Objective: To explore mediators of gender and educational differences in sugar-sweetened soft drinks consumption (SDC) and whether gender and level of future education moderate the associations of accessibility, modelling, ... -
Predictors for Nursing Home Admission and Death among Community-Dwelling People 70 Years and Older Who Receive Domiciliary Care
(Journal article; Peer reviewed, 2015)Aim: The aim of this study was to analyze which variables predicted nursing home admission (NHA) and death. Methods: 1,001 recipients of domiciliary care were assessed three times in a 3-year period. Through bivariate and ... -
Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model
(Peer reviewed; Journal article, 2022) -
Predictors of Cultural Intelligence : What are the predictors of Cultural Intelligence and how do they range in importance?
(Master thesis, 2021)Knowledge about which factors, like personality traits, experiences and demography, and how these relate to cultural intelligence (CQ) is important in today’s business world as we see trends of increasing globalization and ... -
Predictors of enhancing human physical attractiveness: Data from 93 countries
(Peer reviewed; Journal article, 2022)