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Showing result 1 - 5 of 7 swedish dissertations matching the above criteria.

2. 1. Nonlinear dimensionality reduction of gene expression data

   Author : Jens Nilsson; Matematik LTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Gene expression; Manifold learning; Nonlinear dimensionality reduction; Microarray;

   Abstract : Using microarray measurements techniques, it is possible to measure the activity of genes simultaneously across the whole genome. Since genes influence each others activity levels through complex regulatory networks, such gene expression measurements are state samples of a dynamical system. READ MORE

4. 2. Manifold Learning in Computational Biology

   Author : Jens Nilsson; Matematik LTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Nonlinear Dimensionality Reduction; Gene Expression Data; Computational Biology; Machine Learning; Manifold Learning;

   Abstract : This thesis deals with manifold learning techniques and their application in gene expression data analysis. Manifold learning is the study of methods that aim to infer geometrical structure from data sampled from manifolds, enabling nonlinear solutions to various machine learning tasks. READ MORE

5. 3. The dynamics of Alfvén eigenmodes excited by energetic ions in toroidal plasmas

   Author : Emmi Tholerus; Torbjörn Hellsten; Thomas Johnson; Lars-Göran Eriksson; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Fusion plasma physics; tokamak; wave-particle interactions; toroidal Alfvén eigenmodes; bump-on-tail instabilities; magnetohydrodynamics; nonlinear dynamics; quasilinear dynamics; Hamiltonian mechanics; Monte Carlo method; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Experiments for the development of fusion power that are based on magnetic confinement deal with plasmas that inevitably contain energetic (non-thermal) particles. These particles come e.g. from fusion reactions or from external heating of the plasma. READ MORE

6. 4. Structural Reliability and Identification with Stochastic Simulation - Application to Railway Mechanics

   Author : Sadegh Rahrovani; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; model reduction; time-integration; finite element model; sleeper-ballast load characterization; stochastic simulation; Bayesian system identification;

   Abstract : System identification of structures based on measured response data can play a key role in improving reliability based structural designs. However, the experimental limitations of in situ tests and uncertainties of required model complexity together with the inverse nature of system identification give rise to a number of challenging issues. READ MORE

7. 5. The dynamics of Alfvén eigenmodes excited by energetic ions in toroidal plasmas

   Author : Emmi Tholerus; Thomas Johnson; Torbjörn Hellsten; Duarte Borba; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Fusion plasma physics; Tokamak; Wave–particle interactions; Toroidal Alfvén eigenmodes; Bump-on-tail instabilities; Magnetohydrodynamics; Nonlinear dynamics; Quasilinear dynamics; Hamiltonian mechanics; Monte Carlo method; ICRH; FWCD; Electrical Engineering; Elektro- och systemteknik;

   Abstract : The future fusion power plants that are based on magnetic confinement will deal with plasmas that inevitably contain energetic (non-thermal) particles. These particles come, for instance, from fusion reactions or from external heating of the plasma. READ MORE