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Full-Text Articles in Physical Sciences and Mathematics
Multivalued Subsets Under Information Theory, Indraneel Dabhade
Multivalued Subsets Under Information Theory, Indraneel Dabhade
All Theses
In the fields of finance, engineering and varied sciences, Data Mining/ Machine Learning has held an eminent position in predictive analysis. Complex algorithms and adaptive decision models have contributed towards streamlining directed research as well as improve on the accuracies in forecasting. Researchers in the fields of mathematics and computer science have made significant contributions towards the development of this field. Classification based modeling, which holds a significant position amongst the different rule-based algorithms, is one of the most widely used decision making tools. The decision tree has a place of profound significance in classification-based modeling. A number of heuristics …
Optimal Currents In Electrical Impedance Tomography With Robin Boundary Conditions, Cristoffer Cordes
Optimal Currents In Electrical Impedance Tomography With Robin Boundary Conditions, Cristoffer Cordes
All Theses
Electrical Impedance Tomography is an imaging technique with high potential in medical imaging. As of today the resolution is very low and measurement errors have a huge influence on the result.
In order to improve the results, the currents that are applied to perform the measurements have to be chosen carefully, and the best method to do so has not been found yet. For analytical and numerical convenience the spaces of the currents and voltages are often assumed to be L2. However, recent studies have shown that by introducing spaces that are more involved with the weak formulation of the …
Physical Process Models As Regularization Constraints On Geophysical Imaging Problems, Rachel Grotheer
Physical Process Models As Regularization Constraints On Geophysical Imaging Problems, Rachel Grotheer
All Theses
Obtaining accurate images of solute plumes in the subsurface is important to understand site-specific subsurface flow and transport processes. Since image reconstruction is an inverse problem, its ill-posed nature makes obtaining an accurate, high-resolution image difficult. Further, current geophysical methods for plume imaging do not take into account models of the specific process being targeted for imaging.
The main objective of the research is to find a suitable basis that gives a sparse representation of the plume. In future work, we seek to use this basis as a physical constraint during the inversion so as to increase accuracy in imaging. …