Browsing Bergen Open Research Archive by Title
Now showing items 20223-20242 of 34308
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Model selection and parameter estimation for root architecture models using likelihood-free inference
(Peer reviewed; Journal article, 2019)Plant root systems play vital roles in the biosphere, environment and agriculture, but the quantitative principles governing their growth and architecture remain poorly understood. The ‘forward problem’ of what root forms ... -
Model selection in time series by Deep Learning
(Master thesis, 2020-06-30)In this thesis, we will explore the use of deep learning techniques for model selection in time series. We compare the results from this with more traditional approaches for model selection, namely the Akaike and Bayesian ... -
Model simplification and validation: Illustration with indirect structure validity tests
(3/2004, Working paper, 2004)Simplification of a large system dynamics model and validation of the simplified version is illustrated. The original model represents agricultural and environmental problems of irrigation development in Southeast Turkey ... -
Model Spaces in Riemannian and Sub-Riemannian Geometries
(Master thesis, 2018-06-27)The development of Riemannian geometry has been highly influenced by certain spaces with maximal symmetry called model spaces. Following in the footsteps of Klein's Erlangen program, model spaces fit with the approach of ... -
A model study of the seasonal and long-term North Atlantic surface pCO(2) variability
(Peer reviewed; Journal article, 2012-03-05)A coupled biogeochemical-physical ocean model is used to study the seasonal and long–term variations of surface pCO2 in the North Atlantic Ocean. The model agrees well with recent underway pCO2 observations from the Surface ... -
Model variations in predicting incidence of Plasmodium falciparum malaria using 1998-2007 morbidity and meteorological data from south Ethiopia
(Peer reviewed; Journal article, 2010-06-16)Background: Malaria transmission is complex and is believed to be associated with local climate changes. However, simple attempts to extrapolate malaria incidence rates from averaged regional meteorological conditions have ... -
Model-based clustering of multi-tissue gene expression data
(Journal article; Peer reviewed, 2020)Motivation Recently, it has become feasible to generate large-scale, multi-tissue gene expression data, where expression profiles are obtained from multiple tissues or organs sampled from dozens to hundreds of individuals. ... -
Model-based exploration of hypokalemia in dairy cows
(Journal article; Peer reviewed, 2022)Hypokalemia in dairy cows, which is characterized by too low serum potassium levels, is a severe mineral disorder that can be life threatening. In this paper, we explore different originating conditions of hypokalemia—reduced ... -
Model-based exploration of the impact of glucose metabolism on the estrous cycle dynamics in dairy cows
(Peer reviewed; Journal article, 2020)Background: Nutrition plays a crucial role in regulating reproductive hormones and follicular development in cattle. This is visible particularly during the time of negative energy balance at the onset of milk production ... -
Model-based Visualization for Medical Education and Training
(Peer reviewed; Journal article, 2019)Anatomy, or the study of the structure of the human body, is an essential component of medical education. Certain parts of human anatomy are considered to be more complex to understand than others, due to a multitude of ... -
Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System
(Journal article; Peer reviewed, 2020)Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are ... -
Model-informed classification of broadband acoustic backscatter from zooplankton in an in situ mesocosm
(Journal article; Peer reviewed, 2023)Classification of zooplankton to species with broadband echosounder data could increase the taxonomic resolution of acoustic surveys and reduce the dependence on net and trawl samples for ‘ground truthing’. Supervised ... -
Model-simulated hydroclimate in the East Asian summer monsoon region during past and future climate: a pilot study with a moisture source perspective
(Journal article; Peer reviewed, 2023)Here we present a pilot study of the sensitivity of summer monsoon precipitation in the Yangtze River Valley (YRV; 110–122∘ E and 27–33∘ N, eastern China) to climatic boundary conditions from the Last Glacial Maximum (LGM), ... -
Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems
(Journal article; Peer reviewed, 2022)Modeling of biological domains and simulation of biophysical processes occurring in them can help inform medical procedures. However, when considering complex domains such as large regions of the human body, the complexities ... -
Modeling a gas sensor based on quantum vacuum fluctuations
(Master thesis, 2022-06-01)This thesis presents a model of a gas sensor that uses quantum vacuum fluctuations to find the concentration of CO2 in a mixture of other gases, to demonstrate that such a sensor might be possible to make. Our model is a ... -
Modeling and discretization of flow in porous media with thin, full-tensor permeability inclusions
(Journal article; Peer reviewed, 2021)When modeling fluid flow in fractured reservoirs, it is common to represent the fractures as lower-dimensional inclusions embedded in the host medium. Existing discretizations of flow in porous media with thin inclusions ... -
Modeling and Inversion of CSEM Data using Green's Function Methods
(Master thesis, 2014-06-01)The aim of the present study is to develop new approximations to the integral equation for 3D Controlled Source Electromagnetic (CSEM) synthetic data. Several scattering approximations to the integral equation have previously ... -
Modeling and inversion of seismic data using multiple scattering, renormalization and homotopy methods
(Doctoral thesis, 2020-05-14)Seismic scattering theory plays an important role in seismic forward modeling and is the theoretical foundation for various seismic imaging methods. Full waveform inversion is a powerful technique for obtaining a high-resolution ... -
Modeling and simulating the sample complexity of solving LWE using BKW-style algorithms
(Journal article; Peer reviewed, 2022)The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, ... -
Modeling and simulation of blood circulation and perfusion
(Doctoral thesis, 2023-06-16)Numeriske simuleringer har hatt vesentlig betydning for vår forståelse av perfusjon og blodsirkulasjon, og simuleringer gir også viktig innsikt under utviklingen av medisinske anvendelser. Teknologiske fremskritt har ...