This paper describes the application of a hierarchical modular neural network for an advanced approach solving the knock detection task for combustion engines. The knock detection is realized on a two-level feature extraction approach. It is not only based on the popular cycle-by-cycle classification but a tendency index for the knock condition is determined. The experimental environment consis...

Given a metabolic network in terms of its metabolites and reactions, our goal is to efficiently compute the minimal knock-out sets of reactions required to block a given behavior. We describe an algorithm that improves the computation of these knock-out sets when the elementary modes (minimal functional subsystems) of the network are given. We also describe an algorithm that computes both the k...

Morphological limbs defects are the most frequent in horses. The aim of this study was to establish prevalence, associated effects and genetic parameters hock knee Pura Raza Española horses, using two different approaches. In Approach_1, analysed were closed, open, convergent divergent studied buck, calf, bench knock. Defects classified into 3 levels: 0 no defect, 1 slight defect 2 serious defe...