Large-scale, long-term biodiversity monitoring is essential to conservation, land management and identifying threats biodiversity. However, multispecies surveys are prone various types of observation error, including false-positive/false-negative detection misclassification, where a species thought have been encountered but not correctly identified. Previous methods assume an imperfect classifi...

Information extraction is concerned with the location of specific items in (unstructured) textual documents, e.g., being applied for the acquisition of structured data. Then, the acquired data can be applied for mining methods requiring structured input data, in contrast to other text mining methods that utilize a bag-of-words approach. This paper presents a semi-automatic approach for structur...

This paper deals with modeling and control of a semi-active suspension made up with a new industrial semi-active damper, in order to improve comfort and road-holding level of the vehicle. In the past few years, many control strategies have been developed using linear suspension models. A nonlinear model of the industrial damper is developed with physical equations and integrated in a quarter ve...

the use of resistant plant cultivars and parasitoids could be an effective strategy in ipm of liriomyza sativa blanchard. cucumber is a preferable host for this insect. in this research, antixenosis resistance of 17 cultivars of cucumber was evaluated to l. sativae under greenhouse condition. results indicated that there were significant differences between cultivars with regard to the number o...

Semi-NMF is a matrix factorization technique that learns a low-dimensional representation of a dataset that lends itself to a clustering interpretation. It is possible that the mapping between this new representation and our original features contains rather complex hierarchical information with implicit lower-level hidden attributes, that classical one level clustering methodologies can not in...

In this paper we present a novel semi-implicit time-discretization of the level set method introduced in [8] for fluid-structure interaction problems. The idea stems form a linear stability analysis derived on a simplified one-dimensional problem. The semi-implicit scheme relies on a simple filter operating as a post-processing on the level set function. It applies to multiphase flows driven by...

Semi-supervised approaches have proven to be effective in clustering tasks. They allow user input, thus improving the quality of the clustering obtained, while maintaining a controllable level of user intervention. Despite being an important class of algorithms, hierarchical clustering has been little explored in semisupervised solutions. In this report, we address the problem of semi-supervise...

In this experiment, raw milk and commercially available full-cream UHT milk, semi-skimmed UHT milk, skimmed UHT milk, full-cream pasteurized milk, semi-skimmed pasteurized milk and infant formulas for babies between 6 and 12 months of age were analyzed by RIA, with a method using an antibody directed against human leptin and human leptin as reference standard. Raw milk and full-cream UHT milk d...