Agnes Kramer

Agnes Kovacs

The estimation of the tensile strength of certain brittle fibers at extremely short lengths from tensile strength measurements of these fibers at longer lengths is of fundamental importance in the theory of modern fiber composite materials. We examine a competing risks model in which the fiber strength arises as the minimum of two (independent) Weibull random variables having distinct Weibull e...

Agnes Gayibor_Master Thesis Final

Structural Stefan Kramer

In many real-world domains the task of machine learning algorithms is to learn a theory for predicting numerical values. In particular several standard test domains used in Inductive Logic Programming (ILP) are concerned with predicting numerical values from examples and relational and mostly non-determinate background knowledge. However, so far no ILP algorithm except one can predict numbers a...

Research Overview of Agnes Szanto

The general objectives of my research program are to develop efficient algorithms for problems in algebra and in differential algebra, to analyze the computational complexity of the algorithms and to implement them. The scope of my research has expanded over the years. Initially I studied the structure of associative algebras and their applications to factoring polynomials and integers. As a Ph...

The use of microelectrodes with AGNES

AGNES (Absence of Gradients and Nernstian Equilibrium Stripping) is a new electroanalytical technique designed to determine free heavy metal ion concentrations in solutions. AGNES had been applied, up to date, with conventional equipment such as the Hanging Mercury Drop Electrode (HMDE). Due to their much smaller volume, microelectrodes can reach a given preconcentration factor within a much sh...