In order to build a classification or regression model, learning algorithms use datasets to set up its parameters and estimate model performance. Training set construction is a part of data preparation. This important phase is often underestimated in data mining process. However, choose the appropriate preprocessing algorithms is often as important as choose the suitable learning algorithm. Goa...

This paper proposes an effective algorithm based on the level set method (LSM) to solve shape and topology optimization problems. Since the conventional LSM has several limitations, a binary level set method (BLSM) is used instead. In the BLSM, the level set function can only take 1 and -1 values at convergence. Thus, it is related to phase-field methods. We don’t need to solve the Hamilton-Jac...

nitrogen components of yoghurt milk samples and resulting probiotic set yoghurt weredetermined. analyses included total nitrogen (tn), non-casein nitrogen (ncn), non-proteinnitrogen (npn), casein nitrogen (cn) and proteolysis index (pi). yoghurt samples wereanalyzed 1, 7, 14 and 21days after production and storage at 5±1°c. tn, cn and pi contentsof yoghurt milk samples with high somatic cell sc...

This framework is concerned with the numerical modeling of the dynamics of isolated biomembranes and capillary interfaces in a surrounding Newtonian fluid. A level set approach helps to follow the interface motion. Our method features the use of high order fully implicit time integration schemes that enable to overcome stability issues related to the explicit discretization of the highly non-li...

The state-based formal methods B and TLA share the common base of predicate logic, arithmetic and set theory. However, there are still considerable differences, such as the way to specify state transitions, the different approaches to typing, and the available tool support. In this paper, we present a translation from B to TLA to validate B specifications using the model checker TLC. The transl...

A special numerical method for the mean curvature ow in Euclidean space has been developed by Osher and Sethian in 1988. In the present paper the so called level set method is extended to (IR 3 ; g), where g is an arbitrary metric on IR 3. By this natural extension it is possible to calculate the mean curvature ow in spaces with interesting metrics. In this paper we concentrate on examples with...