Masteruppsatser: Recent submissions
Now showing items 21-40 of 62
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Sequential Anomaly Detection for Log Data Using Deep Learning
(2021-06-14)Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an ... -
Effective quasiparallelogram laws on elliptic curves over number fields
(2021-05-21)We introduce the classical theory of heights on projective space and prove explicit quasiparallelogram laws for the ordinary height and the naive height on elliptic curves over number fields with shortWeierstrass equations. ... -
Design and analysis of pre-clinical experiments using a method combining multiple comparisons and modeling techniques for dose-response studies
(2021-04-20)Abstract. Identifying and estimating the dose-response relationship between a compound and a pharmacological endpoint of interest is one of the most important and difficult goals in the preclinical stage of pharmaceutical ... -
Group Invariant Convolutional Boltzmann Machines
(2020-12-04)We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is ... -
Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
(2020-11-26)Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopy technique for 3D imaging of porous materials. We investigate three porous samples of ethyl cellulose microporous films made from ... -
Always Look on the Positive-Definite Side of Life
(2020-11-24)This thesis concerns distributions on Rn with the property of being positive-definite relative to a finite subgroup of the orthogonal group O(n). We construct examples of such distributions as the inverse Abel transform ... -
An exploratory machine learning workflow for the analysis of adverse events from clinical trials
(2020-06-26)A new pharmaceutical drug needs to be shown to be safe and effective before it can be used to treat patients. Adverse events (AEs) are potential side-effects that are recorded during clinical trials, in which a new drug ... -
Three Perspectives of Schiemann’s Theorem
(2020-06-23)Interest in the field of spectral geometry, the study of how analytic and geometric properties of manifolds are related, was sparked when Marc Kac in 1966 asked the question “can one hear the shape of a drum?”. One of ... -
Volatility Curves of Incomplete Markets
(2020-06-23)The graph of the implied volatility of call options as a function of the strike price is called volatility curve. If the options market were perfectly described by the Black-Scholes model, the implied volatility would ... -
Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model
(2020-01-09)The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed ... -
Simulation and statistical methods for stochastic differental equations
(2019-12-16)We look at numerical methods for simulation of stochastic differential equations exhibiting volatility induced stationarity. This is a property of the process which means that the stationary behaviour is mostly imposed ... -
Simulation and statistical methods for stochastic differental equations
(2019-12-11)We look at numerical methods for simulation of stochastic differential equations exhibiting volatility induced stationarity. This is a property of the process which means that the stationary behaviour is mostly imposed ... -
Evidence based training in cross-country skiing: Predicting the force generated by the skier
(2019-12-11)Evidence based training has been around for for while, where data is collected and pre-defined measures are used to evaluate the training session. Skisens AB are presenting new methods to evaluate a session which can be ... -
Robust Design and Analysis of Automotive Collision Avoidance Algorithms
(2019-06-17)Automotive collision avoidance systems help the driver to avoid or mitigate a collision. The main objective of this project is to find a methodology to improve the performance of Volvo’s automotive collision avoidance system ... -
Statistical Modelling of Pedestrian Flows
(2019-06-13)Pedestrian counts and in particular their relation to the buildings in the vicinity of the streetandtothestructureofthestreetnetworkisofcentralinterestinthespacesyntax field. This report is concerned with using statistical ... -
Multi Agent Reinforcement Learning
(2019-06-13)Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is ... -
Floquet Topological Superconductors
(2018-09-20) -
The New Economy - Knowledge Investments - Enterprises intangible investments - the new source of growth
(2017-03-15)Economic-based growth is increasingly becoming dependent on the wide range of intangible investments, known as knowledge-based capital (KBC) investments. Its rapid asset size growth has called for transparency in the ... -
Robust Design and Analysis of Automotive Collision Avoidance
(2017-02-10)Automotive collision avoidance systems help the driver to avoid or mitigate a collision. The main objective of this project is to find a methodology to improve the performance of Volvo's automotive collision avoidance ...